Relevant bibliographies by topics / Solution of mathematical problems

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Solution of mathematical problems'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Solution of mathematical problems"

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Arcavi, Abraham, and Zippora Resnick. "Generating Problems from Problems and Solutions from Solutions." Mathematics Teacher 102, no. 1 (2008): 10–14. http://dx.doi.org/10.5951/mt.102.1.0010.

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Many mathematical problems can be completely solved analytically. Usually, when we reach a solution, we tend to be satisfied and consider the task finished. In this article, we illustrate the practice of reexamining the result of a full analytic solution, an approach that leads to the search for an alternative geometrical solution and thus enhances our understanding of both solutions.
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Arcavi, Abraham, and Zippora Resnick. "Generating Problems from Problems and Solutions from Solutions." Mathematics Teacher 102, no. 1 (2008): 10–14. http://dx.doi.org/10.5951/mt.102.1.0010.

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Many mathematical problems can be completely solved analytically. Usually, when we reach a solution, we tend to be satisfied and consider the task finished. In this article, we illustrate the practice of reexamining the result of a full analytic solution, an approach that leads to the search for an alternative geometrical solution and thus enhances our understanding of both solutions.
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Okino, Takahisa. "New Mathematical Solution for Analyzing Interdiffusion Problems." MATERIALS TRANSACTIONS 52, no. 12 (2011): 2220–27. http://dx.doi.org/10.2320/matertrans.m2011137.

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Cezikturk, Ozlem. "Multiple solution problems and mathematical thinking: Wasan geometry example." Academic Perspective Procedia 2, no. 1 (2019): 37–46. http://dx.doi.org/10.33793/acperpro.02.01.10.

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Wasan geometry flourished in Edo period of Japan as arty, multiple solutioned and systematic. Teachers are not open and papers are not evaluated. Multiple solutions are seen in parallel with advanced mathematics thinking. 80 middle school and 37 high school pre service math teachers were given a Wasan problem and grouped according to correct answers, different answers, and originality. 24 different answers (equality of diagonals of a square, symmetry, equality of tangent lines, auxiliary lines and auxiliary shapes, cosines’ theorem, tan (67.5), similarities, types of triangles etc.) were detected. Answers were also coded for composite answers (who include two different rules), or simple one ways, first answers, similar solution ways and 5-6 different solutions.
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Krivulin, N. K., and J. V. Romanovsky. "Solution of mathematical programming problems using tropical optimization methods." Vestnik St. Petersburg University, Mathematics 50, no. 3 (2017): 274–81. http://dx.doi.org/10.3103/s1063454117030104.

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Gandhi, K. Raja Rama. "Solution of some Problems in Hungarian Mathematical Competition - IV." Bulletin of Society for Mathematical Services and Standards 5 (March 2013): 46–48. http://dx.doi.org/10.18052/www.scipress.com/bsmass.5.46.

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Ursell, F. "Water-wave problems, their mathematical solution and physical interpretation." Journal of Engineering Mathematics 58, no. 1-4 (2006): 7–17. http://dx.doi.org/10.1007/s10665-006-9092-8.

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Senchukov, Viktor. "The solution of optimization problems in the economy by overlaying integer lattices: applied aspect." Economics of Development 18, no. 1 (2019): 44–55. http://dx.doi.org/10.21511/ed.18(1).2019.05.

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The results of generalization of scientific approaches to the solution of modern economic optimization tasks have shown the need for a new vision of their solution based on the improvement of existing mathematical tools. It is established that the peculiarities of the practical use of existing mathematical tools for solving economic optimization problems are caused by the problems of enterprise management in the presence of nonlinear processes in the economy, which also require consideration of the corresponding characteristics of nonlinear dynamic processes. The approach to solving the problem of integer (discrete) programming associated with the difficulties that arise when applying precise methods (methods of separation and combinatorial methods) is proposed, namely: a fractional Gomorrhic algorithm – for solving entirely integer problems (by gradual "narrowing" areas of admissible solutions of the problem under consideration); the method of branches and borders - which involves replacing the complete overview of all plans by their partial directional over. Illustrative examples of schemes of geometric programming, fractional-linear programming, nonlinear programming with a non-convex region, fractional-nonlinear programming with a non-convex domain, and research on the optimum model of Cobb-Douglas model are given. The advanced mathematical tools on the basis of the method of overlaying integer grids (OIG), which will solve problems of purely discrete, and not only integer optimization, as an individual case, are presented in the context of solving optimization tasks of an applied nature and are more effective at the expense of reducing the complexity and duration of their solving. It is proved that appropriate analytical support should be used as an economic and mathematical tool at the stage of solving tasks of an economic nature, in particular optimization of the parameters of the processes of organization and preparation of production of new products of the enterprises of the real sector of the economy.
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Mačys, Juvencijus, and Jurgis Sušinskas. "On Lithuanian mathematical olympiads." Lietuvos matematikos rinkinys, no. 59 (December 20, 2018): 54–60. http://dx.doi.org/10.15388/lmr.b.2018.8.

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Some problems of Lithuanian school mathematical olympiad 2018 and Vilnius University mathematicalolympiad 2018 are considered. Different methods of solution are compared. Some usefulcommon advices for solving mathematical problems are given.
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TREFETHEN, LLOYD N. "SERIES SOLUTION OF LAPLACE PROBLEMS." ANZIAM Journal 60, no. 1 (2018): 1–26. http://dx.doi.org/10.1017/s1446181118000093.

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At the ANZIAM conference in Hobart in February 2018, there were several talks on the solution of Laplace problems in multiply connected domains by means of conformal mapping. It appears to be not widely known that such problems can also be solved by the elementary method of series expansions with coefficients determined by least-squares fitting on the boundary. (These are not convergent series; the coefficients depend on the degree of the approximation.) Here we give a tutorial introduction to this method, which converges at an exponential rate if the boundary data are sufficiently well-behaved. The mathematical foundations go back to Runge in 1885 and Walsh in 1929. One of our examples involves an approximate Cantor set with up to 2048 components.
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Dissertations / Theses on the topic "Solution of mathematical problems"

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Upton, Deborah Susan. "Students' solution strategies to differential equations problems in mathematical and non-mathematical contexts." Thesis, Boston University, 2004. https://hdl.handle.net/2144/32845.

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Thesis (Ed.D.)--Boston University<br>PLEASE NOTE: Boston University Libraries did not receive an Authorization To Manage form for this thesis or dissertation. It is therefore not openly accessible, though it may be available by request. If you are the author or principal advisor of this work and would like to request open access for it, please contact us at open-help@bu.edu. Thank you.<br>The present study investigated undergraduate students' understanding of slope fields and equilibrium solutions as they solved problems in differential equations. The following questions were addressed: 1) Does performance on complex problems vary by context (mathematical, non-mathematical)? 2) When considering a complex problem in a mathematical and a non-mathematical context, are participants who answer the problem in one context correctly more likely to answer the corresponding problem in the other context correctly? 3) Does performance on simple problems predict performance on complex problems? A written test, Differential Equations Concept Assessment (DECA), was designed and administered to 91 participants drawn from three introductory differential equations courses. Of those participants, 13 were interviewed. DECA consists of four complex problems, two in mathematical contexts and two in non-mathematical contexts, and six simple problems that assess aspects of slope fields and equilibrium solutions. The data obtained from DECA and the interviews showed that participants performed significantly better on complex problems in non-mathematical contexts than on complex problems in mathematical contexts. There was a significant relationship found between performance on a problem in a mathematical context and performance on the isomorphic problem in the context of population growth, but a significant relationship was not found between a different pair of isomorphic problems, one in a mathematical context and the other in the context oflearning. However, for all the complex problems, participants illustrated a preference for algebraic rather than geometric methods, even when a geometric approach was a more efficient method of solution. Although performance on simple problems was not found to be a strong predictor of performance on complex problems, the simple problems proved to elicit difficulties participants had with aspects of slope fields and equilibrium solutions. For example, participants were found to overgeneralize the notion of equilibrium solution as being any straight line and as existing at all values where a differential equation equals zero. Participants were also found to identify slope fields as determining only equilibrium solutions.<br>2031-01-01
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Rout, Sweta. "The mathematical modelling and numerical solution of options pricing problems." Thesis, University of Greenwich, 2005. http://gala.gre.ac.uk/6285/.

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Accurate and efficient numerical solutions have been described for a selection of financial options pricing problems. The methods are based on finite difference discretisation coupled with optimal solvers of the resulting discrete systems. Regular Cartesian meshes have been combined with orthogonal co-ordinate transformations chosen for numerical accuracy rather than reduction of the differential operator to constant coefficient form. They allow detailed resolution in the regions of interest where accuracy is most desired, and grid coarsening where there is least interest. These transformations are shown to be effective in producing accurate solutions on modest computational grids. The spatial discretisation strategy is chosen to meet accuracy requirements as sell as to produce coefficient matrices with favourable sparsity and stability properties. In the case of single factor European options, a modified Crank-Nicolson, second order accurate finite difference scheme is presented, which uses adaptive upwind differences when the mesh Peclet conditions are violated. The resulting tridiagonal system of equations is solved using a direct solver. A careful study of grid refinement displays convergence towards the true solution and demonstrates a high level of accuracy can be obtained with this approach. Laplace inversion methods are also implemented as an alternative solution approach for the one-factor European option. Results are compared to those produced by the direct solver algorithm and are shown to be favourable. It is shown how Semi-Lagrange time-integration can solve the path-dependent Asian pricing problem, by integrating out the average price term and simplifying the finite difference equations into a parameterised Black-Scholes form. The implicit equations that result are unconditionally stable, second order accurate and can be solved using standard tridiagonal solvers. The Semi-Lagrange method is shown to be easily used in conjunction with co-ordinate transformations applied in both spatial directions. A variable time-stepping scheme is implemented in the algorithm. Early exercise is also easily incorporated, the resulting linear complementarity problem can be solved using a projection or penalty method (the penalty method is shown to be slightly more efficient). Second order accuracy has been confirmed for Asian options that must be held to maturity. A comparison with published results for continuous-average-rate put and call options, with and without early exercise, shows that the method achieves basis point accuracy and that Richardson extrapolation can also be applied.
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Penlington, Thomas Helm. "Exploring learners' mathematical understanding through an analysis of their solution strategies." Thesis, Rhodes University, 2005. http://hdl.handle.net/10962/d1007642.

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The purpose of this study is to investigate various solution strategies employed by Grade 7 learners and their teachers when solving a given set of mathematical tasks. This study is oriented in an interpretive paradigm and is characterised by qualitative methods. The research, set in nine schools in the Eastern Cape, was carried out with nine learners and their mathematics teachers and was designed around two phases. The research tools consisted of a set of 12 tasks that were modelled after the Third International Mathematics and Science Study (TIMSS), and a process of clinical interviews that interrogated the solution strategies that were used in solving the 12 tasks. Aspects of grounded theory were used in the analysis of the data. The study reveals that in most tasks, learners relied heavily on procedural understanding at the expense of conceptual understanding. It also emphasises that the solution strategies adopted by learners, particularly whole number operations, were consistent with those strategies used by their teachers. Both learners and teachers favoured using the traditional, standard algorithm strategies and appeared to have learned these algorithms in isolation from concepts, failing to relate them to understanding. Another important finding was that there was evidence to suggest that some learners and teachers did employ their own constructed solution strategies. They were able to make sense of the problems and to 'mathematize' effectively and reason mathematically. An interesting outcome of the study shows that participants were more proficient in solving word problems than mathematical computations. This is in contrast to existing research on word problems, where it is shown that teachers find them difficult to teach and learners find them difficult to understand. The findings of this study also highlight issues for mathematics teachers to consider when dealing with computations and word problems involving number sense and other problem solving type problems.
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Lawson, Jane. "Towards error control for the numerical solution of parabolic equations." Thesis, University of Leeds, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.329947.

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Jaksic, Vojkan Simon Barry Simon Barry. "Solutions to some problems in mathematical physics /." Diss., Pasadena, Calif. : California Institute of Technology, 1992. http://resolver.caltech.edu/CaltechETD:etd-09122005-162352.

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Shyshkov, Andriy. "NUMERICAL SOLUTION OF ILL-POSED PROBLEMS." Kent State University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=kent1271700548.

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Murat, Ekrem Alper. "An allocation based modeling and solution framework for location problems with dense demand /." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=102685.

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In this thesis we present a unified framework for planar location-allocation problems with dense demand. Emergence of such information technologies as Geographical Information Systems (GIS) has enabled access to detailed demand information. This proliferation of demand data brings about serious computational challenges for traditional approaches which are based on discrete demand representation. Furthermore, traditional approaches model the problem in location variable space and decide on the allocation decisions optimally given the locations. This is equivalent to prioritizing location decisions. However, when allocation decisions are more decisive or choice of exact locations is a later stage decision, then we need to prioritize allocation decisions. Motivated by these trends and challenges, we herein adopt a modeling and solution approach in the allocation variable space.<br>Our approach has two fundamental characteristics: Demand representation in the form of continuous density functions and allocation decisions in the form of service regions. Accordingly, our framework is based on continuous optimization models and solution methods. On a plane, service regions (allocation decisions) assume different shapes depending on the metric chosen. Hence, this thesis presents separate approaches for two-dimensional Euclidean-metric and Manhattan-metric based distance measures. Further, we can classify the solution approaches of this thesis as constructive and improvement-based procedures. We show that constructive solution approach, namely the shooting algorithm, is an efficient procedure for solving both the single dimensional n-facility and planar 2-facility problems. While constructive solution approach is analogous for both metric cases, improvement approach differs due to the shapes of the service regions. In the Euclidean-metric case, a pair of service regions is separated by a straight line, however, in the Manhattan metric, separation takes place in the shape of three (at most) line segments. For planar 2-facility Euclidean-metric problems, we show that shape preserving transformations (rotation and translation) of a line allows us to design improvement-based solution approaches. Furthermore, we extend this shape preserving transformation concept to n-facility case via vertex-iteration based improvement approach and design first-order and second-order solution methods. In the case of planar 2-facility Manhattan-metric problems, we adopt translation as the shape-preserving transformation for each line segment and develop an improvement-based solution approach. For n-facility case, we provide a hybrid algorithm. Lastly, we provide results of a computational study and complexity results of our vertex-based algorithm.
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Trickett, S. A. "The numerical solution of elliptic problems." Thesis, University of Oxford, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.375307.

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Ak, Aykagan. "Berth and quay crane scheduling problems, models and solution methods /." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26652.

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Thesis (Ph.D)--Industrial and Systems Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Erera, Alan L.; Committee Member: Ergun, Ozlem; Committee Member: Savelsbergh, Martin; Committee Member: Tetali, Prasad; Committee Member: White III, Chelsea C.. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Thareja, Rajiv R. "Efficient single-level solution of hierarchical problems in structural optimization." Diss., Virginia Polytechnic Institute and State University, 1986. http://hdl.handle.net/10919/71195.

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Engineering design is hierarchical in nature, and if no attempt is made to benefit from this hierarchical nature, design optimization can be very expensive. There are two alternatives to taking advantage of the hierarchical nature of structural design problems. Multi-level optimization techniques incorporate the hierarchy at the formulation stage, and result in the coordinated optimization of a hierarchy of subsystems. The use of multi-level optimization techniques often necessitates the use of equality constraints. These constraints can sometimes cause numerical difficulties during optimization. Single-level decomposition techniques take advantage of the hierarchical nature to reduce the optimization cost. In this research the decomposition approach has been followed to reduce the computational effort in a single-level design space. A decoupling technique has been developed that retains the advantages of a partitioned system of smaller independent subsystems without an increase in the total number of design variables. A penalty function formulation using Newton's method for the solution of a sequence of unconstrained minimizations was employed. The optimization of the decoupled system is cheaper due to (i) cheaper evaluation of the hessian matrix by taking advantage of its sparsity, (ii) fewer global analyses for constraint derivative calculations, and (iii) utilizing the decoupled nature of the hessian matrix in the solution process. Further, the memory requirements of the decoupled system are much less than that of the original coupled system. These benefits increase substantially for design problems with larger and larger number of detailed design variables. Orthotropic material properties as stiffness global variables have been shown to be effective as global variables for panels in a hierarchical wing design formulation. The proposed decoupling technique was implemented to minimize the volume of a portal frame and a wing box. Computational savings of up to 50 percent have been obtained for medium sized problems. The savings increase as the size of the problem and the amount of decoupling is increased. The procedure is simple to implement. For truly large systems this decoupling technique provides the necessary reduction of computational effort to make the optimization process viable.<br>Ph. D.
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Books on the topic "Solution of mathematical problems"

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Arun, Ghosh. C++ solutions for mathematical problems. New Age International (P) Ltd., Publishers, 2005.

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Kirsanov, Mihail, and Ol'ga Kuznecova. Mathematical analysis. Collection of problems and solutions using the Maple system. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1160964.

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The collection contains theoretical material, conditions and examples of solutions to problems with answers, as well as more than 400 test questions on mathematical analysis to control the assimilation of theoretical and practical material. All tasks and test questions can be used both for independent solution, and as control works and standard tasks for full-time, part-time and distance learning. The manual contains recommendations for using the Maple computer mathematics system for solving problems and a short guide to the main commands of this system.&#x0D; For students and teachers of technical and economic universities.
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Trigg, Charles W. Mathematical quickies: 270 stimulating problems with solutions. Dover Publications, 1985.

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1937-, Larson Loren C., Gilbert George Thomas, and Gilbert George Thomas, eds. A mathematical orchard: Problems and solutions. MAA, Mathematical Association of America, 2012.

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Problems & solutions in theoretical & mathematical physics. 2nd ed. World Scientific, 2003.

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Challenging mathematical problems with elementary solutions. Dover, 1987.

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Chin, Eric, Dian Nel, and Sverrir Olafsson. Problems and Solutions in Mathematical Finance. John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119192190.

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Chin, Eric, Dian Nel, and Sverrir Ólafsson. Problems and Solutions in Mathematical Finance. John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118845141.

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1971-, Alberink Ivo B., ed. Mathematical statistics: Problems and detailed solutions. Walter de Gruyter, 1998.

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Kang, Kab Seok. P1 nonconforming finite element method for the solution of radiation transport problems. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 2002.

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Book chapters on the topic "Solution of mathematical problems"

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Zudin, Yuri B. "Solution of Characteristic Problems." In Mathematical Engineering. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-53445-8_3.

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Zudin, Yuri B. "Solution of Special Problems." In Mathematical Engineering. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-53445-8_5.

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Chapman, Virginia K., and Kathleen M. Whalen. "Solutions to Problems." In Mathematical Crystallography, edited by Monte B. Boisen and Gerald V. Gibbs. De Gruyter, 1990. http://dx.doi.org/10.1515/9781501508912-023.

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Kulikovskii, A. G., N. V. Pogorelov, and A. Yu Semenov. "Mathematical Aspects of Numerical Solution of Hyperbolic Systems." In Hyperbolic Problems: Theory, Numerics, Applications. Birkhäuser Basel, 1999. http://dx.doi.org/10.1007/978-3-0348-8724-3_10.

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van den Berg, Arie. "A hybrid solution for wave propagation problems in inhomogeneous media." In Mathematical Geophysics. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2857-2_5.

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Chernogorova, Tatiana, Ivan Dimov, and Lubin Vulkov. "Coordinate Transformation Approach for Numerical Solution of Environmental Problems." In Mathematical Problems in Meteorological Modelling. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40157-7_7.

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Bell, Gavin J., and Bruce W. Lamar. "Solution Methods for Nonconvex Network Flow Problems." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-59179-2_3.

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Karátson, János, and Balázs Kovács. "A Parallel Numerical Solution Approach for Nonlinear Parabolic Systems Arising in Air Pollution Transport Problems." In Mathematical Problems in Meteorological Modelling. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40157-7_4.

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Feistauer, Miloslav. "Finite Element Variational Crimes in the Solution of Nonlinear Stationary Problems." In Problems and Methods in Mathematical Physics. Vieweg+Teubner Verlag, 1994. http://dx.doi.org/10.1007/978-3-322-85161-1_3.

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Friedman, Avner. "Solution to problems from Part 2." In Mathematics in Industrial Problems. Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4613-9098-5_18.

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Conference papers on the topic "Solution of mathematical problems"

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RASTELLO, MARIA LUISA, and AMEDEO PREMOLI. "HOMOTOPIC SOLUTION OF EW-TLS PROBLEMS." In Advanced Mathematical and Computational Tools in Metrology. WORLD SCIENTIFIC, 2004. http://dx.doi.org/10.1142/9789812702647_0022.

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Kalimoldayev, Maksat N., Muvasharkhan T. Jenaliyev, Asel A. Abdildayeva, and Shynar K. Elezhanova. "Numerical solution of optimal control problems for complex power systems." In ADVANCEMENTS IN MATHEMATICAL SCIENCES: Proceedings of the International Conference on Advancements in Mathematical Sciences. AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4930508.

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Murai, Daisuke, Atsushi Kawamoto, and Tsuguo Kondoh. "A Solution to Shape Optimization Problems Using Time Evolution Equations." In 9th Vienna Conference on Mathematical Modelling. ARGESIM Publisher Vienna, 2018. http://dx.doi.org/10.11128/arep.55.a55240.

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Tugelbayeva, G. K. "Mathematical models for numerical solution of nonstationary problems of geomechanics." In PROCEEDINGS OF THE X ALL-RUSSIAN CONFERENCE “Actual Problems of Applied Mathematics and Mechanics” with International Participation, Dedicated to the Memory of Academician A.F. Sidorov and 100th Anniversary of UrFU: AFSID-2020. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0035683.

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Chaurasia, Anju, P. C. Srivastava, and Yogesh Gupta. "Solution of higher order boundary value problems by spline methods." In ADVANCEMENT IN MATHEMATICAL SCIENCES: Proceedings of the 2nd International Conference on Recent Advances in Mathematical Sciences and its Applications (RAMSA-2017). Author(s), 2017. http://dx.doi.org/10.1063/1.5008697.

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Kirillov, Evgenii V., and Galia A. Zakirova. "Numerical Solution of Spectral Problems for the Mathematical Model of Hydrodynamics." In 2018 International Russian Automation Conference (RusAutoCon). IEEE, 2018. http://dx.doi.org/10.1109/rusautocon.2018.8501656.

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Gupta, Yogesh. "Numerical solution of system of boundary value problems using B-spline with free parameter." In MATHEMATICAL SCIENCES AND ITS APPLICATIONS. Author(s), 2017. http://dx.doi.org/10.1063/1.4973256.

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Aharouch, L., E. Azroul, and M. Rhoudaf. "Existence of solutions for variational degenerated unilateral problems." In Proceedings of the Conference in Mathematics and Mathematical Physics. WORLD SCIENTIFIC, 2010. http://dx.doi.org/10.1142/9789814295574_0013.

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Guner, Ozkan, Omer Unsal, Ahmet Bekir, and Abdelouahab Kadem. "Soliton solution and other solutions to a nonlinear fractional differential equation." In ICNPAA 2016 WORLD CONGRESS: 11th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences. Author(s), 2017. http://dx.doi.org/10.1063/1.4972761.

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Umamaheswari, P., and K. Ganesan. "A new approach for the solution of unconstrained fuzzy optimization problems." In THE 11TH NATIONAL CONFERENCE ON MATHEMATICAL TECHNIQUES AND APPLICATIONS. AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5112189.

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Reports on the topic "Solution of mathematical problems"

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Macal, C. M., and A. P. Hurter. Solution of mathematical programming formulations of subgame perfect equilibrium problems. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10134527.

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Zirilli, Francesco. Mathematics: Numerical Solution of Inverse Problems in Acoustics. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada267402.

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Buckmaster, John. Mathematical Problems in Combustion. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada336154.

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Cook-Ioannidis, L. P. Mathematical Problems in Transonic Flow. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada239292.

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Swetz, Frank J. Mathematical Treasure: Problems fromZibaldone da Canal. The MAA Mathematical Sciences Digital Library, 2012. http://dx.doi.org/10.4169/loci003905.

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Hrusa, William J. Some Mathematical Problems in Continuum Mechanics. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada207923.

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Hrusa, William J. Some Mathematical Problems in Continuum Mechanics. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada250352.

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Kriegsmann, G. A., J. H. Luke, and C. V. Hile. Applied Mathematical Problems in Modern Electromagnetics. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada336217.

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Frenzen, Christopher L. Convolution Methods for Mathematical Problems in Biometrics. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada359925.

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Jiang, Yuxian. Closed-Form Solution to Guidance Problems,. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada300022.

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