For more than 250 years partial differential equations have been clearly the most important tool available to mankind in order to understand a large variety of phenomena, natural at first and then those originating from - man activity and technological development. Mechanics, physics and their engineering applications were the first to benefit from the impact of partial differential equations on modeling and design, but a little less than a century ago the Schr¨ odinger equation was the key opening the door to the application of partial differential equations to quantum chemistry, for small atomic and molecular systems at first, but then for systems of fast growing complexity. The place of partial differential equations in mathematics is a very particular one: initially, the partial differential equations modeling natural phenomena were derived by combining calculus with physical reasoning in order to - press conservation laws and principles in partial differential equation form, leading to the wave equation, the heat equation, the equations of elasticity, the Euler and Navier–Stokes equations forfluids, the Maxwell equations of electro-magnetics, etc. It is in order to solve ‘constructively’ the heat equation that Fourier developed the series bearing his name in the early 19th century; Fourier series (and later integrals) have played (and still play) a fundamental role in both pure and applied mathematics, including many are as quite remote from partial differential equations. On the other hand, several areas of mathematics such as differential ge- etry have benefited from their interactions with partial differential equations.
1103818399
Partial Differential Equations: Modelling and Numerical Simulation
For more than 250 years partial differential equations have been clearly the most important tool available to mankind in order to understand a large variety of phenomena, natural at first and then those originating from - man activity and technological development. Mechanics, physics and their engineering applications were the first to benefit from the impact of partial differential equations on modeling and design, but a little less than a century ago the Schr¨ odinger equation was the key opening the door to the application of partial differential equations to quantum chemistry, for small atomic and molecular systems at first, but then for systems of fast growing complexity. The place of partial differential equations in mathematics is a very particular one: initially, the partial differential equations modeling natural phenomena were derived by combining calculus with physical reasoning in order to - press conservation laws and principles in partial differential equation form, leading to the wave equation, the heat equation, the equations of elasticity, the Euler and Navier–Stokes equations forfluids, the Maxwell equations of electro-magnetics, etc. It is in order to solve ‘constructively’ the heat equation that Fourier developed the series bearing his name in the early 19th century; Fourier series (and later integrals) have played (and still play) a fundamental role in both pure and applied mathematics, including many are as quite remote from partial differential equations. On the other hand, several areas of mathematics such as differential ge- etry have benefited from their interactions with partial differential equations.
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Partial Differential Equations: Modelling and Numerical Simulation
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Partial Differential Equations: Modelling and Numerical Simulation
292Paperback(Softcover reprint of hardcover 1st ed. 2008)
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Product Details
| ISBN-13: | 9789048179794 |
|---|---|
| Publisher: | Springer Netherlands |
| Publication date: | 11/23/2010 |
| Series: | Computational Methods in Applied Sciences , #16 |
| Edition description: | Softcover reprint of hardcover 1st ed. 2008 |
| Pages: | 292 |
| Product dimensions: | 6.10(w) x 9.25(h) x 0.36(d) |
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