000			02708nam a2200205 4500
005			20251011145231.0
008			251011b |||||||| |||| 00| 0 eng d
020			_a9783030893682
082			_a519.6 _bCOR
100			_aCorriou, Jean-Pierre _924935
245			_aNumerical methods and optimization: _btheory and practice for engineers
260			_aCham _bSpringer _c2021
300			_axx, 715 p.
365			_aINR _b7336.35
490			_aSpringer Optimization and Its Applications (SOIA, volume 187)
500			_aTable of contents: Front Matter Pages i-xx Download chapter PDF Interpolation and Approximation Jean-Pierre Corriou Pages 1-44 Numerical Integration Jean-Pierre Corriou Pages 45-67 Equation Solving by Iterative Methods Jean-Pierre Corriou Pages 69-106 Numerical Operations on Matrices Jean-Pierre Corriou Pages 107-148 Numerical Solution of Systems of Algebraic Equations Jean-Pierre Corriou Pages 149-187 Numerical Integration of Ordinary Differential Equations Jean-Pierre Corriou Pages 189-237 Numerical Integration of Partial Differential Equations Jean-Pierre Corriou Pages 239-454 Analytical Methods for Optimization Jean-Pierre Corriou Pages 455-503 Numerical Methods of Optimization Jean-Pierre Corriou Pages 505-574 Linear Programming Jean-Pierre Corriou Pages 575-622 Quadratic Programming and Nonlinear Optimization Jean-Pierre Corriou Pages 623-651 Dynamic Optimization Jean-Pierre Corriou Pages 653-708 Back Matter Pages 709-715 [https://link.springer.com/book/10.1007/978-3-030-89366-8]
520			_aThis text, covering a very large span of numerical methods and optimization, is primarily aimed at advanced undergraduate and graduate students. A background in calculus and linear algebra are the only mathematical requirements. The abundance of advanced methods and practical applications will be attractive to scientists and researchers working in different branches of engineering. The reader is progressively introduced to general numerical methods and optimization algorithms in each chapter. Examples accompany the various methods and guide the students to a better understanding of the applications. The user is often provided with the opportunity to verify their results with complex programming code. Each chapter ends with graduated exercises which furnish the student with new cases to study as well as ideas for exam/homework problems for the instructor. A set of programs made in Matlab™ is available on the author’s personal website and presents both numerical and optimization methods. (https://link.springer.com/book/10.1007/978-3-030-89366-8)
650			_aApplied mathematics _915527
942			_cBK _2ddc
999			_c10355 _d10355