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Revival: Block Method for Solving the Laplace Equation and for Constructing Conformal Mappings (1994) (Paperback): Evgenii A.... Revival: Block Method for Solving the Laplace Equation and for Constructing Conformal Mappings (1994) (Paperback)
Evgenii A. Volkov
R1,592 Discovery Miles 15 920 Ships in 12 - 17 working days

This book presents a new, efficient numerical-analytical method for solving the Laplace equation on an arbitrary polygon. This method, called the approximate block method, overcomes indicated difficulties and has qualitatively more rapid convergence than well-known difference and variational-difference methods. The block method also solves the complicated problem of approximate conformal mapping of multiply-connected polygons onto canonical domains with no preliminary information required. The high-precision results of calculations carried out on the computer are presented in an abundance of tables substantiating the exponential convergence of the block method and its strong stability concerning the rounding-off of errors.

Revival: Block Method for Solving the Laplace Equation and for Constructing Conformal Mappings (1994) (Hardcover): Evgenii A.... Revival: Block Method for Solving the Laplace Equation and for Constructing Conformal Mappings (1994) (Hardcover)
Evgenii A. Volkov
R5,641 Discovery Miles 56 410 Ships in 12 - 17 working days

This book presents a new, efficient numerical-analytical method for solving the Laplace equation on an arbitrary polygon. This method, called the approximate block method, overcomes indicated difficulties and has qualitatively more rapid convergence than well-known difference and variational-difference methods. The block method also solves the complicated problem of approximate conformal mapping of multiply-connected polygons onto canonical domains with no preliminary information required. The high-precision results of calculations carried out on the computer are presented in an abundance of tables substantiating the exponential convergence of the block method and its strong stability concerning the rounding-off of errors.

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