標題: Titlebook: Automatic Differentiation of Algorithms; From Simulation to O George Corliss,Christèle Faure,Uwe Naumann Book 2002 Springer Science+Busines [打印本頁] 作者: Strategy 時間: 2025-3-21 16:14
書目名稱Automatic Differentiation of Algorithms影響因子(影響力)
書目名稱Automatic Differentiation of Algorithms影響因子(影響力)學科排名
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書目名稱Automatic Differentiation of Algorithms網(wǎng)絡公開度學科排名
書目名稱Automatic Differentiation of Algorithms被引頻次
書目名稱Automatic Differentiation of Algorithms被引頻次學科排名
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書目名稱Automatic Differentiation of Algorithms年度引用學科排名
書目名稱Automatic Differentiation of Algorithms讀者反饋
書目名稱Automatic Differentiation of Algorithms讀者反饋學科排名
作者: 切掉 時間: 2025-3-21 20:32 作者: OVERT 時間: 2025-3-22 01:22 作者: tattle 時間: 2025-3-22 07:03
Differentiation Methods for Industrial Strength Problemssues such as inhomogeneous source codes written in different languages or table look-ups..Several results concerning the use of tools such as ADIFOR, Odyssée, and ADOL-C are presented. We discuss the benefits and the difficulties of current AD techniques applied to real industrial codes. Finally, we作者: hypotension 時間: 2025-3-22 10:47
Analytical Aspects and Practical Pitfalls in Technical Applications of ADgy function with respect to the strain tensor. These quantities can be derived analytically using complicated analysis but it is fascinating that with minimal preparation and only few mathematical insight exactly the same values can also be computed using AD methods.作者: Collected 時間: 2025-3-22 16:44 作者: Cosmopolitan 時間: 2025-3-22 17:46 作者: 沙漠 時間: 2025-3-22 22:04 作者: 慷慨不好 時間: 2025-3-23 01:25
The Earth as an open ecosystem,puter models have to be developed more quickly. The correct description and implementation of the interaction between different components of the entire simulation model as well as the nonlinear behaviour of these components lead in many cases to the need for derivative information. In this chapter,作者: vanquish 時間: 2025-3-23 09:04
Srinivas Bettadpur,Christopher McCulloughd that have proved useful in the installation of nonlinear solvers in the NEOS Server. Our discussion centers on the computation of the gradient and Hessian matrix for partially separable functions and shows that the gradient and Hessian matrix can be computed with guaranteed bounds in time and memo作者: minion 時間: 2025-3-23 13:17 作者: 擁擠前 時間: 2025-3-23 15:00 作者: 存在主義 時間: 2025-3-23 18:16
Communication Skills in Medical Education Automatic differentiation enables, in a completely mechanical fashion, algorithmic changes by switching from a quasi-Newton method, where first order derivatives are approximated by finite differences, to a modified Gauss-Newton method using exact first order derivatives. Compared to the original c作者: 磨碎 時間: 2025-3-24 00:03
Advances in Science, Technology & Innovationiteratively. Investigated methods include automatic differentiation (AD) with the Odyssée software (forward and reverse modes) and manual differentiation (MD) using the model’s adjoint equations. The comparison mainly focuses on accuracy and computing efficiency, as well as on development effort. Wh作者: disrupt 時間: 2025-3-24 03:05
Tabassum Zehra,Rukhsana Wamiq Zuberion constitutes an opportunity to achieve both higher run-time efficiency and an increased feasibility of higher-order uncertainty analysis of complex models. In this article we present an overview of the derivative requirements of nonlinear regression routines. We further describe our experience in 作者: erythema 時間: 2025-3-24 07:05 作者: 現(xiàn)實 時間: 2025-3-24 12:20 作者: Torrid 時間: 2025-3-24 15:58 作者: Deference 時間: 2025-3-24 21:57
Angelica Hüsser,Michael Schanneusing a direct transcription method. The resulting nonlinear programming problem is solved using the sequential quadratic programming algorithm SNOPT for constrained optimisation. The automatic differentiation software tool .. is used for the evaluation of the first-order derivatives of objective an作者: bleach 時間: 2025-3-25 02:07
https://doi.org/10.1007/978-3-030-66296-7m incurs amazingly low overheads: the cost (measured in target function evaluations) is independent of the number of discrete time-steps. The algorithm can be modified to verify that the Hessian contains no eigenvalues less than a postulated quantity, and to produce an appropriate descent direction 作者: 發(fā)展 時間: 2025-3-25 03:25 作者: 暫時休息 時間: 2025-3-25 08:03 作者: emulsify 時間: 2025-3-25 13:22
Competency-Based Clinical SupervisionWe overview code optimizations for superscalar processors (Pentium, Ultra Sparc, Alpha, etc.) in the context of automatic differentiation. Using an example we show the impact of program transformations used to increase code efficiency.作者: Interdict 時間: 2025-3-25 18:25
Performance Issues in Automatic Differentiation on Superscalar ProcessorsWe overview code optimizations for superscalar processors (Pentium, Ultra Sparc, Alpha, etc.) in the context of automatic differentiation. Using an example we show the impact of program transformations used to increase code efficiency.作者: 祖?zhèn)?nbsp; 時間: 2025-3-25 23:53
https://doi.org/10.1007/978-1-4613-0075-5Hardware; algorithms; computer; control; dynamische Systeme; management; mechanics; modeling; optimization; p作者: 引導 時間: 2025-3-26 00:10
978-1-4612-6543-6Springer Science+Business Media New York 2002作者: BIPED 時間: 2025-3-26 05:37 作者: covert 時間: 2025-3-26 08:58 作者: Matrimony 時間: 2025-3-26 14:20 作者: Cerebrovascular 時間: 2025-3-26 17:54
Competency-Based Clinical Supervisiondivided differences Jacobian approximation in single precision, while it succeeds using Odyssée-generated forward mode Jacobian values. In double precision, the optimizer returns a smaller “minimum” objective function with AD compared to DD in 46% more CPU time.作者: 責任 時間: 2025-3-26 23:48
Differentiation Methods for Industrial Strength Problemsputer models have to be developed more quickly. The correct description and implementation of the interaction between different components of the entire simulation model as well as the nonlinear behaviour of these components lead in many cases to the need for derivative information. In this chapter,作者: CREEK 時間: 2025-3-27 01:57
Automatic Differentiation Tools in Optimization Softwared that have proved useful in the installation of nonlinear solvers in the NEOS Server. Our discussion centers on the computation of the gradient and Hessian matrix for partially separable functions and shows that the gradient and Hessian matrix can be computed with guaranteed bounds in time and memo作者: 明確 時間: 2025-3-27 06:55
Using Automatic Differentiation for Second-Order Matrix-free Methods in PDE-constrained Optimizationg second-derivative information is not. Both assumptions need revision for the application of optimization to systems constrained by partial differential equations, in the contemporary limit of millions of state variables and in the parallel setting. Large-scale PDE solvers are complex pieces of sof作者: 脾氣暴躁的人 時間: 2025-3-27 13:23
Present and Future Scientific Computation Environmentsion of real-world applications. In this chapter we discuss some of the experiences of NAG Ltd. in several European projects aiming towards the development of such tools. It will also note some of the encouraging developments, particularly in the area of interface standards that might make PSE constr作者: WAG 時間: 2025-3-27 14:54
A Case Study of Computational Differentiation Applied to Neutron Scattering Automatic differentiation enables, in a completely mechanical fashion, algorithmic changes by switching from a quasi-Newton method, where first order derivatives are approximated by finite differences, to a modified Gauss-Newton method using exact first order derivatives. Compared to the original c作者: 柔美流暢 時間: 2025-3-27 21:49 作者: 嫌惡 時間: 2025-3-28 01:17 作者: 爭吵加 時間: 2025-3-28 03:23 作者: FANG 時間: 2025-3-28 07:56 作者: 碎石頭 時間: 2025-3-28 12:39 作者: flimsy 時間: 2025-3-28 16:53 作者: Immobilize 時間: 2025-3-28 21:34 作者: Ossification 時間: 2025-3-28 23:32 作者: Override 時間: 2025-3-29 04:08
Nonlinear Observer Design Using Automatic Differentiation. An observer can provide these values. For nonlinear systems there are some observer design methods which are based on differential geometric or differential algebraic concepts. The application to non-trivial systems is limited due to a burden of symbolic computations involved. The authors propose 作者: 是限制 時間: 2025-3-29 09:37 作者: BRAND 時間: 2025-3-29 14:38 作者: maintenance 時間: 2025-3-29 16:47 作者: EXCEL 時間: 2025-3-29 21:59
Coping With Addictive Opioid Marketserential algebraic concepts. The application to non-trivial systems is limited due to a burden of symbolic computations involved. The authors propose an observer design method using automatic differentiation.作者: 言外之意 時間: 2025-3-30 02:25
Present and Future Scientific Computation Environmentsment of such tools. It will also note some of the encouraging developments, particularly in the area of interface standards that might make PSE construction a more effective and realistic prospect in the future.作者: 翅膀拍動 時間: 2025-3-30 07:46
Continuous Optimal Control Sensitivity Analysis with ADans of automatic differentiation, while the associated sensitivity derivative is computed by continuous reverse differentiation. The numerical results are given for several examples of orbit transfer, also illustrating the advantages of automatic differentiation over finite differences for the computation of gradients on the discretized problem.作者: 搖曳的微光 時間: 2025-3-30 12:07 作者: aggressor 時間: 2025-3-30 15:07
https://doi.org/10.1007/978-3-319-49941-3 practical. For general problems, automatic differentiation is likely to be the most convenient means of exploiting second derivatives. We delineate a role for automatic differentiation in matrix-free optimization formulations involving Newton’s method, in which little more storage is required than that for the analysis code alone.作者: mortuary 時間: 2025-3-30 17:29
