Egison is a functional programming language featuring its expressive pattern-matching facility. Egison allows users to define efficient and expressive pattern-matching methods for arbitrary ...
Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...
Abstract: Physics-informed neural networks (PINNs) are not dependent on data-driven methods but are solely constrained by physical laws. This makes them more aligned with the ideal inverse design ...
Configurable code for solving atomic structures. The diffpy.srfit package provides the framework for building a global optimizer on the fly from components such as function calculators (that calculate ...
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20.8 Exercises 21 Phase-Type Workloads and Matrix-Analytic Methods 21.1 Representing General Distributions by Exponentials 21.2 Markov Chain Modeling of PH Workloads 21.3 The Matrix-Analytic method 21 ...
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Abstract: The inverse kinematics (IK) problem of continuum robots has been investigated in depth in the past decades. Under the constant-curvature bending assumption, closed-form IK solution has been ...
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