Andrew B. Lambe
Computational Theory and Mathematics · 2012–2018
A researcher in the Science corpus: 4 papers; trusts 28 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 27 citations into it; #9,555 of 12,182 by trust here, #7,142 by citations
- Civil and Structural Engineering — 20 citations into it; #4,482 of 6,160 by trust here, #4,288 by citations
- Mechanics of Materials — 13 citations into it
- Artificial Intelligence — 7 citations into it
- Numerical Analysis — 7 citations into it
- Statistics and Probability — 7 citations into it; #10,226 of 12,932 by trust here, #7,508 by citations
- Control and Systems Engineering — 6 citations into it
- Management of Technology and Innovation — 5 citations into it; #988 of 3,602 by trust here, #2,977 by citations
Whom Andrew B. Lambe trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tyson R. Browning
- Joaquim R. Martins
- Dimitri P. Bertsekas
- Philip E. Gill
- Graeme J. Kennedy
- Ruben E. Perez
- Panos Y. Papalambros
- S. Tosserams
- Walter Murray
- Harrison M. Kim
Who trusts Andrew B. Lambe overall
- Joaquim R. Martins
- John T. Hwang
- Gaetan K. W. Kenway
- Ji-chao Li
- Justin S. Gray
- Mohamed Amine Bouhlel
- Xiaosong Du
- Charles A. Mader
- Ping He
Papers from Andrew B. Lambe's perspective
Ordered by how strongly the researchers Andrew B. Lambe trusts endorse each paper. Same corpus, a different order for every researcher.
- SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization (SIAM Journal on Optimization)
- Stress-based topology optimization for continua
- An Efficient Weighting Update Method to Achieve Acceptable Consistency Deviation in Analytical Target Cascading (Design Automation Conference)
- Filters in topology optimization
- Applying the design structure matrix to system decomposition and integration problems: a review and new directions (IEEE Trans. Engineering Management)
- Achieving minimum length scale in topology optimization using nodal design variables and projection functions
- New strategies for flexibility analysis and design under uncertainty
- Efficient structural optimization for multiple load cases using adjoint sensitivities
- Improved constraint-aggregation methods
- pyOpt: a Python-based object-oriented framework for nonlinear constrained optimization (Structural And Multidisciplinary Optimization)
Their papers
- An evaluation of constraint aggregation strategies for wing box mass minimization (2017) — 80 citations
- Multidisciplinary design optimization: A survey of architectures (2013) — 1,021 citations
- Topology optimization using a continuous density field and adaptive mesh refinement (2018) — 47 citations
- Extensions to the design structure matrix for the description of multidisciplinary design, analysis, and optimization processes (2012) — 525 citations