Computation, Optimization, and Machine Learning in Seismology provides students with a detailed understanding of seismic wave theory, optimization theory, and how to use machine learning to interpret seismic data. Volume highlights include: Mathematical foundations and key equations for computational ...
In general, this method requires few iterations to converge; however, it requires a matrix that grows with the size of the problem. If the estimate is far from the minimum, the Hessian matrix may be poorly conditioned. In addition, it involves inverting a matrix, which makes the method ...
A survey on computation offloading modeling for edge computing 6.1Convex and non-convex optimization Convex optimizationis a powerful tool for optimization problems because it is solvable. In this model, the objective(s) of offloading is(are) formulated as an objective function and the limitations of...
Objective function, specified as a function handle or function name. Write the objective function to accept a row vector of lengthnvarsand return a scalar value. When the'UseVectorized'option istrue, writefunto accept apop-by-nvarsmatrix, wherepopis the current population size. In this case,fu...
Formally, an optimization problem is defined in terms of a set of parameters and restrictions. The parameters chosen to describe the design of a specific system include one or many decision makers, the system's variables, single or several objectives to be achieved, and a set of structural ...
The force field proportionally studies the estimation of potential energy and computation of forces acting on the atom, of the system under assessment. In this work, the polymeric dendritic molecules were parameterized employing the UFF i.e. Universal Forcefield. This forcefield is a broad spectra...
Pet dogs are our good friends. Realizing the dog’s emotions through the dog's facial expressions is beneficial to the harmonious coexistence between human beings and pet dogs. This paper describes a study on dog facial expression recognition using convo
Optimize layers structure of Keras model to reduce computation time kerasinference-optimization UpdatedJul 18, 2020 Python Rapternmn/PyTorch-Onnx-Tensorrt Star80 A set of tool which would make your life easier with Tensorrt and Onnxruntime. This Repo is designed for YoloV3 ...
Matrix A=[amk],m,k=1,2,…,K, is a mixing matrix, which has to satisfy certain properties, e.g., to be left or doubly stochastic (Section 5.13.2). In the above framework, a number of algorithms have been suggested based on a diminishing step size sequence that converge to a ...
transform the input matrix data into a plurality of sub-blocks, examine a first block of the sub-blocks to determine whether the first block comprises sparse data, select a first tile size upon a determination that the first block comprises sparse data and generate output matrix data based on...