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Showing 1 to 20 of 22 for “"Polynomial function"”.

  1. Graphical methods for the analysis of data.

    … growth curves based on the fitting of a polynomial function to sections or "blocks" of the raw data.

    sheffield-hallam Repository record for Graphical methods for the analysis of data. (opens in a new tab)

  2. Approximation of Elements of Exponentials of Differential Operators With Rational Quadrature

    … of differential operators, by using a rational function, instead of a polynomial function, as the interpolating function. Since a rational function behaves more like a decaying exponential function, it seems logical that the approximation should be more accurate. Through the use of high accuracy …

    usm Repository record for Approximation of Elements of Exponentials of Differential Operators With Rational Quadrature (opens in a new tab)

  3. On the Optimality of Several Algorithms on Polynomial Regression of Empicial Bayes Poisson Model

    … extensions of this problem to estimating polynomial functions of the Poisson parameter rather than just the parameter itself. We generalize three different algorithms for estimation, specifically the Robbins estimator from [2], the NPMLE method from [3], and the ERM method from [4]. For …

    mit Repository record for On the Optimality of Several Algorithms on Polynomial Regression of Empicial Bayes Poisson Model (opens in a new tab)

  4. The application of simulated annealing to the mixed model, deterministic assembly line balancing problem

    … while its processing time increases only as a polynomial function of problem size. However, none of the applications found in the literature fully explore the technique's ability to handle a highly-constrained problem such as line balancing.

    vt Repository record for The application of simulated annealing to the mixed model, deterministic assembly line balancing problem (opens in a new tab)

  5. Parametric modeling of dependence of bivariate quantile regression residuals' signs

    … method, where the outcome is modeled as a polynomial function of the linear predictor. Both are conceived to constrain the predicted probabilities to lie within the feasible range. The estimated probabilities can be tested against the values of largest possible dependence and independence. …

    cagliari Repository record for Parametric modeling of dependence of bivariate quantile regression residuals' signs (opens in a new tab)

  6. The use and analysis of infinite elements

    … at infinity, to some extent, since the basis functions used are of decaying type and the elements are of infinite length. The aim of this study is to compare these two methods, in one and two dimensions, in particular, • to derive error bounds • to show the advantages of the infinite element …

    city-london Repository record for The use and analysis of infinite elements (opens in a new tab)

  7. Vision-Based Obstacle Avoidance for Multiple Vehicles Performing Time-Critical Missions

    … for each vehicle is computed using a single polynomial function that incorporates the vehicle constraints on velocity and acceleration and satisfies boundary conditions by construction. Furthermore, the arrival criterion and a preliminary obstacle avoidance scheme is incorporated into the …

    vt Repository record for Vision-Based Obstacle Avoidance for Multiple Vehicles Performing Time-Critical Missions (opens in a new tab)

  8. Expert system usability: modeling and analysis of human- advisor interaction

    … the state transition model, an expert system, Function Diagnostic, was developed. Function Diagnostic determines mathematical expressions for the graphical representation of selected piecewise linear and polynomial function. An experiment was performed in which subjects used Function Diagnostic …

    vt Repository record for Expert system usability: modeling and analysis of human- advisor interaction (opens in a new tab)

  9. On-Line Transient Stability Analysis of a Multi-Machine Power System Using the Energy Approach

    … based on the PMUs and the Transient Energy Function of a multimachine system. Thanks to the PMUs, the weakness of the direct methods, which is the over-simplification of the generator model, is overcome. This new method consists of fitting a curve to the data of the post-fault path provided …

    vt Repository record for On-Line Transient Stability Analysis of a Multi-Machine Power System Using the Energy Approach (opens in a new tab)

  10. Decentralized Synergetic Control of Power Systems

    … with the rest of the system is estimated by a polynomial function of the active power generated by the subsystem. Particle Swarm Optimization (PSO) technique is employed for optimum tuning of the controller's parameters. To further enhance the performance of the system by widening its range of …

    wvu Repository record for Decentralized Synergetic Control of Power Systems (opens in a new tab)

  11. Modeling for thermal resistance of non-O157 shiga toxin producing Escherichia coli in ground beef

    … of these pathogens was modeled as a second order polynomial function of fat content of ground beef and temperature of cooking. The accuracy factor of the developed model was 11.43%, which is in the acceptable limit of 25%. The model was successfully validated for predicting process lethality in …

    purdue-thes Repository record for Modeling for thermal resistance of non-O157 shiga toxin producing Escherichia coli in ground beef (opens in a new tab)

  12. Interpretable machine learning methods with applications to health care

    … 4, we deal with optimal regression trees with polynomial function in leaf nodes and demonstrate this method improves the out-of-sample performance. The second part of this thesis is about how interpretable machine learning methods improve the current health care system. In Chapter 5, we …

    mit Repository record for Interpretable machine learning methods with applications to health care (opens in a new tab)

  13. Direct Simulation Methods for Multiple Changepoint Problems.

    … with unknown hyper-parameters, and piecewise polynomial regression models which assume continuity of the regression function. The particle filter we propose is based on a simple approximation to the filtering recursion. We show that the error introduced by the approximation can be small. We …

    lancaster Repository record for Direct Simulation Methods for Multiple Changepoint Problems. (opens in a new tab)

  14. Nonlinear finite element modeling and incremental analysis of a composite truck tire structure

    … stresses between the belt and carcass layers as functions of normal loads and inflation pressures. The model is validated through a comparison of the normal force-deflection characteristics and the contact patch geometry derived from the model with the laboratory-measured data in a qualitative …

    concordia Repository record for Nonlinear finite element modeling and incremental analysis of a composite truck tire structure (opens in a new tab)

  15. Development of a Microscopic Emission Modeling Framework for On-Road Vehicles

    … where the first model structure is a cubic polynomial function that depends on fuel estimates derived solely from VT-CPFM fuel estimates, which enhances the simplicity of the model. The second modeling framework combines the cubic function of the VT-CPFM fuel estimates with a linear speed …

    vt Repository record for Development of a Microscopic Emission Modeling Framework for On-Road Vehicles (opens in a new tab)

  16. Smart Process Design with Machine Learning for Quality Assurance in Metal Additive Manufacturing

    … basis. By modeling laser power as a polynomial function of build height and reducing the optimization space using weighted basis functions, the approach accounts for thermal and geometric variations throughout the build. Employing Response Surface Methodology, the framework minimizes …

    vt Repository record for Smart Process Design with Machine Learning for Quality Assurance in Metal Additive Manufacturing (opens in a new tab)

  17. Topics in Trajectory Generation for Robots

    … the path, and the course of motion as a function of time, namely the trajectory. As we discuss in this thesis, a trajectory can be acquired from a human demonstration or generated by carefully designing an objective function. In the first approach, we examine a number of robotic setups …

    lund Repository record for Topics in Trajectory Generation for Robots (opens in a new tab)

  18. CPFD Modeling of a Novel Internally Circulating Bubbling Fluidized Bed for Chemical Looping Combustion

    … on the momentum rate of the fluidizing gas. A polynomial function was fit between these two variables resulting in a method to predict the solids circulation rate. Similarly, the rate of gas infiltration between sections was found to be dependent on the solids circulation rate, allowing for a …

    ottawa-retro Repository record for CPFD Modeling of a Novel Internally Circulating Bubbling Fluidized Bed for Chemical Looping Combustion (opens in a new tab)

  19. Polynomial systems : graphical structure, geometry, and applications

    Solving systems of polynomial equations is a foundational problem in computational mathematics, that has several applications in the sciences and engineering. A closely related problem, also prevalent in applications, is that of optimizing polynomial functions subject to polynomial constraints. In …

    mit Repository record for Polynomial systems : graphical structure, geometry, and applications (opens in a new tab)

  20. Mismatched Decoding: Capacity and Error Exponent Upper Bounds

    … used to derive an upper bound to the reliability function. In contrast to the previous part, when a codeword is sent over the auxiliary channel and the hypothetical decoder makes an error, the mismatched decoder makes an error with a positive probability. Moreover, this probability is conditioned …

    cambridge Repository record for Mismatched Decoding: Capacity and Error Exponent Upper Bounds (opens in a new tab)

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