0
Your cart

Your cart is empty

Browse All Departments
  • All Departments
Price
  • R1,000 - R2,500 (1)
  • R2,500 - R5,000 (1)
  • -
Status
Brand

Showing 1 - 2 of 2 matches in All Departments

Computational Partial Differential Equations Using MATLAB (R) (Paperback, 2nd edition): Jichun Li, Yi-Tung Chen Computational Partial Differential Equations Using MATLAB (R) (Paperback, 2nd edition)
Jichun Li, Yi-Tung Chen
R1,389 Discovery Miles 13 890 Ships in 9 - 15 working days

In this popular text for an Numerical Analysis course, the authors introduce several major methods of solving various partial differential equations (PDEs) including elliptic, parabolic, and hyperbolic equations. It covers traditional techniques including the classic finite difference method, finite element method, and state-of-the-art numercial methods.The text uniquely emphasizes both theoretical numerical analysis and practical implementation of the algorithms in MATLAB. This new edition includes a new chapter, Finite Value Method, the presentation has been tightened, new exercises and applications are included, and the text refers now to the latest release of MATLAB. Key Selling Points: A successful textbook for an undergraduate text on numerical analysis or methods taught in mathematics and computer engineering. This course is taught in every university throughout the world with an engineering department or school. Competitive advantage broader numerical methods (including finite difference, finite element, meshless method, and finite volume method), provides the MATLAB source code for most popular PDEs with detailed explanation about the implementation and theoretical analysis. No other existing textbook in the market offers a good combination of theoretical depth and practical source codes.

Computational Partial Differential Equations Using MATLAB (R) (Hardcover, 2nd edition): Jichun Li, Yi-Tung Chen Computational Partial Differential Equations Using MATLAB (R) (Hardcover, 2nd edition)
Jichun Li, Yi-Tung Chen
R3,209 Discovery Miles 32 090 Ships in 12 - 17 working days

In this popular text for an Numerical Analysis course, the authors introduce several major methods of solving various partial differential equations (PDEs) including elliptic, parabolic, and hyperbolic equations. It covers traditional techniques including the classic finite difference method, finite element method, and state-of-the-art numercial methods.The text uniquely emphasizes both theoretical numerical analysis and practical implementation of the algorithms in MATLAB. This new edition includes a new chapter, Finite Value Method, the presentation has been tightened, new exercises and applications are included, and the text refers now to the latest release of MATLAB. Key Selling Points: A successful textbook for an undergraduate text on numerical analysis or methods taught in mathematics and computer engineering. This course is taught in every university throughout the world with an engineering department or school. Competitive advantage broader numerical methods (including finite difference, finite element, meshless method, and finite volume method), provides the MATLAB source code for most popular PDEs with detailed explanation about the implementation and theoretical analysis. No other existing textbook in the market offers a good combination of theoretical depth and practical source codes.

Free Delivery
Pinterest Twitter Facebook Google+
You may like...
Monopoly Mzanzi Edition
R1,699 R1,599 Discovery Miles 15 990
Dala A2 Sketch Pad (120gsm)(36 Sheets)
R260 Discovery Miles 2 600
Loot
Nadine Gordimer Paperback  (2)
R205 R168 Discovery Miles 1 680
Not available
4 in 1 Wireless Foldable Charger Station…
R659 R599 Discovery Miles 5 990
Sudocrem Skin & Baby Care Barrier Cream…
R70 R48 Discovery Miles 480
Home Quip Stainless Steel Double Wall…
R176 Discovery Miles 1 760
Home Classix Placemats - The Tropics…
R59 R51 Discovery Miles 510
Ultra Link UL-HPBT01 Gravity Bluetooth…
 (4)
R499 R419 Discovery Miles 4 190
Spectra S1 Double Rechargeable Breast…
 (46)
R3,799 Discovery Miles 37 990

 

Partners