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Computational Physics Problem Solving With Python(4th Edition)
Authors:
Rubin H. Landau ,Manuel J. Paez ,Cristian C. Bordeianu
Cover Type:Hardcover
Condition:Used
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Book details
ISBN: 3527414258, 978-3527414253
Book publisher: Wiley-VCH
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Book Summary: The Classic In The Field For More Than 25 Years, Now With More Emphasis On Data Science And Machine LearningComputational Physics Combines Physics, Applied Mathematics, And Computer Science In A Cutting-edge Multidisciplinary Approach To Solving Realistic Physical Problems. It Has Become Integral To Modern Physics Research Because Of Its Capacity To Bridge The Gap Between Mathematical Theory And Real-world System Behavior. Computational Physics Provides The Reader With The Essential Knowledge To Understand Computational Tools And Mathematical Methods Well Enough To Be Successful. Its Philosophy Is Rooted In “learning By Doing”, Assisted By Many Sample Programs In The Popular Python Programming Language. The First Third Of The Book Lays The Fundamentals Of Scientific Computing, Including Programming Basics, Stable Algorithms For Differentiation And Integration, And Matrix Computing. The Latter Two-thirds Of The Textbook Cover More Advanced Topics Such Linear And Nonlinear Differential Equations, Chaos And Fractals, Fourier Analysis, Nonlinear Dynamics, And Finite Difference And Finite Elements Methods. A Particular Focus In On The Applications Of These Methods For Solving Realistic Physical Problems. Readers Of The Fourth Edition Of Computational Physics Will Also Find: Brand-new Chapters On General Relativity And The Computational Physics Of Soft Matter An Exceptionally Broad Range Of Topics, From Simple Matrix Manipulations To Intricate Computations In Nonlinear DynamicsA Whole Suite Of Supplementary Material: Python Programs, Jupyter Notebooks And VideosComputational Physics Is Ideal For Students In Physics, Engineering, Materials Science, Andany Subjects Drawing On Applied Physics.
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