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Titlebook: Applied Mathematical Analysis: Theory, Methods, and Applications; Hemen Dutta,James F. Peters Book 2020 Springer Nature Switzerland AG 202

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樓主: Harding
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發(fā)表于 2025-3-30 08:41:07 | 只看該作者
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發(fā)表于 2025-3-30 12:43:36 | 只看該作者
53#
發(fā)表于 2025-3-30 18:42:21 | 只看該作者
,The Narimanov–Moiseev Multimodal Analysis of Nonlinear Sloshing in Circular Conical Tanks,perform small-magnitude oscillatory motions with the forcing frequency close to the lowest natural sloshing frequency. To derive the corresponding nonlinear modal system (of ordinary differential equations), we introduce an infinite set of the sloshing-related generalised coordinates governing the f
54#
發(fā)表于 2025-3-30 20:51:44 | 只看該作者
55#
發(fā)表于 2025-3-31 03:51:56 | 只看該作者
Prediction and Control of Buckling: The Inverse Bifurcation Problems for von Karman Equations,e first and second inverse bifurcation problems for von Karman equations. Both approaches are based upon the method employed to solve the direct bifurcation problem for the equations in question. The approach considered was applied to several difficult problems of actual practice, viz., for the firs
56#
發(fā)表于 2025-3-31 08:04:10 | 只看該作者
Numerical Solution with Special Layer Adapted Meshes for Singularly Perturbed Boundary Value Problee literature for resolving the boundary layer of two-point singularly perturbed problems. Our exposition begins with the Bakhvalov mesh and its modification using Padé approximation, then continues with the piecewise uniform Shishkin-type meshes and to the most recent W-grid using Lambert W-function
57#
發(fā)表于 2025-3-31 11:24:08 | 只看該作者
58#
發(fā)表于 2025-3-31 15:27:40 | 只看該作者
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發(fā)表于 2025-3-31 21:05:59 | 只看該作者
60#
發(fā)表于 2025-4-1 00:51:37 | 只看該作者
Goal Programming Models for Managerial Strategic Decision Making,king in presence of competing and conflicting objectives. The GP model aggregates multiple objectives and allows obtaining satisfying solutions where the deviations between achievement and the aspirations levels of the attributes are to be minimized. The GP model is easy to understand and to apply:
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