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Hooker, John N.
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Integrated Methods for Optimization Hooker, John N.
by
Yao, Quanming, author.
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Optimization with Low-rank Regularization / Yao, Quanming, author.
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Rhodes, Dustin, author.
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Access Classification for Race Detection Optimization / Rhodes, Dustin, author.
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Wong, Chiu Wai, author.
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Optimization Everywhere: Convex, Combinatorial, and Economic / Wong, Chiu Wai, author.
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Lee, Chris S., author.
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Data Dependent Optimization Vision Architecture / Lee, Chris S., author.
by
Kancharla, Abhilash, author.
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Big Streaming Data Sampling and Optimization / Kancharla, Abhilash, author.
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Zhou, Yi, author.
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Nonconvex Optimization in Machine Learning: Convergence, Landscape, and Generalization / Zhou, Yi
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Yang, Fan, author.
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Statistics Meets Optimization: Computational Guarantees for Statistical Learning Algorithms / Yang
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Wu, Cathy, author.
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Learning and Optimization for Mixed Autonomy Systems: A Mobility Context / Wu, Cathy, author.
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Vareth, Maryam, author.
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Implementation and Optimization of Parallel Imaging and Compressed Sensing Techniques for Faster
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Alshahrani, Abdullah Saad M., author.
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Hybrid PSO Genetic Scheduling Algorithm Optimization for the Enhancement of WSN's Lifetime /
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Baheri Irani, Ali Khayat, author.
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Real-Time Control and Optimal Plant Design for Renewable Energy Systems Using Bayesian Optimization /
by
Cai, Ermao, author.
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Power/Performance Modeling and Optimization: Using and Characterizing Machine Learning Applications /
by
Rennie, Colin M., author.
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Designing and Learning CPG Gaits for Spherical Tensegrity Robots Using Bayesian Optimization /
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Nair, Kanchan, author.
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Build automation and optimization for models of embedded real-time systems / Nair, Kanchan, author.
by
Malleypally, Vinaya, author.
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Parallelizing Tabu Search Based Optimization Algorithm on GPUs / Malleypally, Vinaya, author.
by
Nain, Prerna, author.
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Determining Optimal Arithmetic Circuits for Solving Linear Optimization Problems with SAT Solvers /
by
Xu, Bo, author.
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optimization / Xu, Bo, author.
by
Ham, Tae Jun, author.
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Data Access Optimization in Accelerator-oriented Heterogeneous Architecture through Decoupling and
by
Liu, Albert Julius, author.
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Applications of Numerical Optimization in Graphics and Games / Liu, Albert Julius, author.
by
Morales, Nicolas M., author.
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Efficient Wave-Based Sound Propagation and Optimization for Computer-Aided Design / Morales
by
Brucker, Peter.
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Mathematical optimization.
by
Balci, Osman.
ScienceDirect http://www.sciencedirect.com/science/book/9780080408064
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broad spectrum of research domains which include optimization techniques, linear programming, interior
by
Lavaee Mashhadi, Rahman, author.
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bottlenecks in different levels of the memory hierarchy. Memory layout optimization can alleviate this effect
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Perry, Chantel A., author.
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-making with grants optimization. This research utilizes the Design Science Research framework which highlights
by
Ulu, Nurcan Gecer, author.
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support design by high-level functional prescriptions, a physics based shape optimization method for
by
Ulu, Erva, author.
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orientation optimization method as well as data-driven shape optimization approaches to structural design are
by
Brown, Matthew S., author. (orcid)0000-0002-6535-8877
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into computer aided design compatible surface meshes by applying a series of meshing and optimization
by
Süslü, Sümeyye, author.
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. This brings a large demand for optimization and smarter resource allocation of the applications written
by
Zhang, Ruoxi, author.
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-efficient, minimum error, and high coverage monitor set, this problem can be translated into an optimization problem
by
Lagari, Pola-Lydia, author.
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spectrum, and constrained optimization techniques are applied to minimize the deviation in a least squares
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Sai, Gorthi Venkata Sreeram Phani, author.
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optimal route within a reasonable time. A meta-heuristic algorithm, Ant Colony Optimization (ACO) is used
by
Liu, Tiantian, author.
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also allows us to leverage ideas from numerical optimization. In particular, we show that our solver
by
Yu, Haichao, author.
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accordingly. The multi-layered HITS is formulated as a regularized optimization problem with non
by
Mainkar, Abhishek Vinay, author.
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-MOLF) MLP. Due to non-convex optimization, training an MLP for large networks has the possibility of finding
by
Metzgar, Jonathan Brian, author.
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error analysis based on reference image comparison, and parameter optimization based on time analysis
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Minaee, Shervin, author.
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optimization problem, one based on alternating direction method of multipliers (ADMM), and the other one based
by
Guillet, Fabrice. editor.
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four chapters discuss optimization considerations in data mining. The second part explores specific
by
Narne, Narendra Babu, author.
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. In general, the rate of penetration (ROP) optimization means that drilling parameters such as Weight
by
Zelkowitz, Marvin V., 1945-
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Basics; 3. Business Computing and the Supply Chain; 4. Supply Chain Optimization; 5. RFIDTechnology
by
Fan, Bo, author.
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reconstruction optimization framework by joining low rank (from correlated slices), total variation and sparsity
by
Hughes, Dana, author. (orcid)0000-0003-4493-959X
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multiobjective optimization approach is employed to automatically design the neural network architectures which
by
Huang, Xiao Bing, author. (orcid)0000-0002-1198-9526
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implementation. The optimization of the code and execution in these tools is often limited and relies on the
by
Park, Junkil, author.
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, optimization used in code generator and code transformation).
by
Si, Bing, author.
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to improving care coordination, and facilitates the design and optimization of nurses' training
by
Xue, Yexiang, author.
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approximation algorithm to solve stochastic optimization problems which identify the optimal policy that
by
Sarroff, Andy M., author.
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implementation of Adam optimization is incorrect for complex random variables and show that selection of input
by
Yi, Shanhe, author.
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formulate an optimization problem for offloading task selection and prioritize offloading requests received
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Bhalachandra, Sridutt, author.
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optimization can also be a performance optimization. For applications that are limited by memory access times
by
Choi, Wonje, author.
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heterogeneous manycore platforms. Second, we develop a machine learning-based multi-objective optimization (MOO
by
Yang, Shan, author.
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-swarm optimization methods. I demonstrate the effectiveness of this approach on real-time interaction with virtual
by
Figgatt, Caroline Margaret, author. (orcid)0000-0001-8460-4175
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optimization problems. This thesis discusses experimental results for several quantum algorithms performed on a
by
Imes, Connor Kelly, author. (orcid)0000-0003-1683-8353
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-linear relationship between performance and power to meet performance goals while leaving the energy optimization to
by
Menendez, David, author.
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optimization pass is LLVM's peephole optimizer, which is a suite of hundreds of small algebraic transformations
by
Chen, Desai, author.
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reality. In addition to efficient design optimization, the gamut representation of the microstructure
by
Mohammadi Ghazi, Reza, author.
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fields, optimization methods, kernel two sample tests, and kernel dependence analysis. The developed
by
Seyyedhasani, Hasan, author.
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solve the VRP. The solution considered optimization of field completion time as well as improving the
by
Zhu, Siyu, author.
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their local coordinate frames encoded by similarity transformations for independent optimization in
by
Atahary, Tanvir, author.
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parallelized this optimization procedure on a GPGPU and ended up achieving 85--100 times speedup. This amount
by
Zelkowitz, Marvin V., 1945-
Format:
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Composition: Problems and Potentials; 7. A Crisis in Information System Security; 8. Optimistic Optimization
by
Abani, Noor, author.
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optimization problem that finds the optimal storage allocation and content placement that minimizes data
by
Smith, Andrew Michael, author.
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distributed optimization and a variant of iterated best response. Finally, we analyze equilibrium results on
by
Behzadnia, Peyman, author.
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consumption and query response time. Furthermore, via analyzing our optimization model to identify structural
by
Bhalerao, Aditi A., author.
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a baseline in the optimization model created. The STEER model uses generator level data and hourly
by
Fernandez Gonzalez, Enrique, author.
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recent methods in convex optimization combined with methods for planning with relaxed planning graphs and
by
Cifuentes, Diego, author.
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Optimization problems from applications usually involve parameters (e.g., the data), and there is
by
Roychowdhury, Anirban, author.
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We continue with an L-BFGS optimization algorithm on Riemannian manifolds that uses stochastic
by
Govindarajan, Sriram, author.
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considerable improvement in the design performance for RCs. We also developed an improved register optimization
by
Li, Quan, author.
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average-case optimization for three NP-hard combinatorial optimization problems: Large Submatrix Selection
by
Qi, Ershi. editor.
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Recommendation Algorithm -- 43.Resource Constrained Project Scheduling Optimization With Robust Objective Under
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