Search Results - "polynomial"

Elements of algebraic coding systems / by Rocha, Valdemar C. da, 1947-

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Numerical structural analysis / by O'Hara, Steven E., Ramming, Carisa H.

Table of Contents: “…Roots of algebraic and transcendental equations -- 1.1 Equations -- 1.2 Polynomials -- 1.3 Descartes' rule -- 1.4 Synthetic division -- 1.5 Incremental search method -- 1.6 Refined incremental search method -- 1.7 Bisection method -- 1.8 Method of false position or linear interpolation -- 1.9 Secant method -- 1.10 Newton-Raphson method or Newton's tangent -- 1.11 Newton's second order method -- 1.12 Graeffe's root squaring method -- 1.13 Bairstow's method -- References --…”
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Linear differential equations and oscillators / by Campos, Luis Manuel Braga da Costa

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Error-Correction Coding and Decoding Bounds, Codes, Decoders, Analysis and Applications / by Tomlinson, Martin, Tjhai, Cen Jung, Ambroze, Marcel A., Ahmed, Mohammed, Jibril, Mubarak

Table of Contents: “…Part I: Theoretical Performance of Error-Correcting Codes -- Bounds on Error Correction Coding Performance -- Soft and Hard Decision Decoding Performance -- Soft Decision and Quantised Soft Decision Decoding -- Part II: Code Construction -- Cyclotomic Cosets, The Mattson–Solomon Polynomial, Idempotents and Cyclic Codes -- Good Binary Linear Codes -- Lagrange Codes -- Extended BCH -- Reed–Solomon Codes -- Algebraic Geometry Codes -- Algebraic Quasi Cyclic Codes -- Convolutional Codes: A Historical Perspective -- Aalogue BCH Codes -- LDPC Codes -- Part III: Analysis of Codes -- True Search for Stopping Sets for LDPC Codes -- Part IV: Decoders -- Erasures and Error-Correcting Codes -- The Modified Dorsch Decoder -- A Concatenated Error-Correction System Using the |u|u+v| Code Construction -- Part V: Applications -- Combined Error Detection and Error Correction -- Password Correction and Confidential Information Access System -- Variations on the McEliece Public Key Encryption System -- Error-Correcting Codes and Dirty-Paper Coding.…”
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Methods of Mathematical Modelling Fractional Differential Equations.

Table of Contents: “…6.7 ConclusionReferences; 7 A Hybrid Formulation for Fractional Model of Toda Lattice Equations; 7.1 Introduction; 7.2 Basic Idea of HATM with Adomian's Polynomials; 7.3 Application to the Toda Lattice Equations; 7.4 Numerical Result and Discussion; 7.5 Concluding Remarks; Acknowledgements; References; 8 Fractional Model of a Hybrid Nanofluid; 8.1 Introduction; 8.2 Problem's Description; 8.3 Generalization of Local Model; 8.4 Solution of the Problem; 8.4.1 Solutions of the Energy Equation; 8.4.2 Solution of Momentum Equation; 8.5 Results and Discussion; 8.6 Concluding Remarks; Acknowledgment…”
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Mastering Lean Six Sigma advanced black belt concepts / by Taghizadegan, Salman, 1957-

Table of Contents: “…Analysis of concepts and strategies: advanced statistical analysis, achieving ultimate performance scientifically -- 9.1 Descriptive statistics -- 9.1.1 Descriptive statistics techniques and graphing: stem and leaf -- 9.1.2 Histogram -- 9.1.3 Measure of center tendency -- 9.1.4 Measures of variability -- 9.2 Descriptive measures -- 9.2.1 Measurement system analysis -- 9.2.2 Accuracy/bias -- 9.2.3 Stability (consistency) -- 9.2.4 Linearity -- 9.2.5 Gage repeatability and reproducibility (or Gage R&R) -- 9.2.6 Measurement system components -- 9.3 Probability distributions and concepts -- 9.3.1 Definition, experiment, outcome, and sample space -- 9.3.2 Probability of event (EI) as relative frequency -- 9.3.3 Marginal and conditional probabilities -- 9.3.4 The rules of probability (union of events) -- 9.3.5 The rules of probability (intersection of events) -- 9.4 Discrete random variables: probability distribution -- 9.4.1 Binomial probability distribution -- 9.4.2 Poisson probability distribution -- 9.4.3 The hypergeometric probability distribution -- 9.5 Continuous random variables probability distributions -- 9.5.1 Normal probability distribution -- 9.5.2 t-distribution -- 9.5.3 Normality test -- 9.5.4 Exponential distribution -- 9.5.5 Reliability engineering -- 9.6 Inferential statistics and sampling distribution -- 9.6.1 Random sampling and the distribution of the sample mean -- 9.6.2 Central limit theorem (CLT) -- 9.6.3 Confidence interval for the mean [mu] of normal population ([theta] is known) -- 9.6.4 Confidence interval for the mean [mu] of normal -- Population (([theta] is unknown) -- 9.6.5 Selecting the necessary sample size -- 9.7 Hypothesis testing, inferences procedures, and proportions testing -- 9.7.1 Hypothesis testing for the mean [mu] and variance ([theta]2) of the population -- 9.7.2 P-value application -- 9.7.3 Hypothesis testing using p-value approach (using equal mean) -- 9.7.4 Hypothesis testing on the mean [mu] of a normal population for small sample -- 9.7.5 Inference procedures for two populations: applying the concepts -- 9.7.6 Comparing two normal population means ([mu]1 - [mu]2) using two small, independent samples: apply the mechanics -- 9.7.7 Comparing the variance of two normal populations ([theta]12-[theta]22) using independent samples-f test (small sample size): apply the mechanics -- 9.7.8 Estimation and testing for population proportions -- 9.7.9 Confidence interval for a population proportion: large sample -- 9.7.10 Hypothesis testing for a population proportion -- 9.7.11 Comparing population proportion: two large independent samples -- 9.8 Advanced analysis of variance (ANOVA) -- 9.8.1 One-way analysis of variance -- 9.8.2 Randomized block design and analysis of variance -- 9.8.3 Two-way analysis of variance -- 9.9 Linear regression analysis -- 9.9.1 Scatter plots and correlation analysis -- 9.9.2 Simple linear regression model and analysis -- 9.9.3 Linear regression model -- 9.9.4 Least square criteria -- 9.9.5 Inferences on the slope [beta]1, concept: t-test -- 9.9.6 Confidence interval for B1 slope -- 9.9.7 Prediction by regression analysis: confidence interval for an individual y, given x -- 9.10 Multiple regression analysis -- 9.10.1 Multiple linear regression model building -- 9.10.2 Hypothesis testing and confidence interval -- 9.10.3 Polynomial and nonlinear regression model building -- 9.11 Tollgate review and deliverables for analysis phase -- 9.11.1 Analysis phase deliverables and checklist --…”
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Simultaneous differential equations and multi-dimensional vibrations / by Campos, Luis Manuel Braga da Costa

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