Wolfram Demonstrations Project
Applied Mathematics
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Demonstrations 21 - 40 of 863
Confidence Intervals for the Erlang DistributionEdwards's Solution of Pendulum OscillationAnalog-to-Discrete System Conversion Using Impulse InvarianceTrigonometric Functions of Commutative MatricesEqually Spaced Multipoint Method for Numerical Differentiation
Confidence Intervals for the Erlang Distribution
Edwards's Solution of Pendulum Oscillation
Analog-to-Discrete System Conversion Using Impulse Invariance
Trigonometric Functions of Commutative Matrices
Equally Spaced Multipoint Method for Numerical Differentiation
Nonperiodic Substitution Tiling of the PlaneThe Variance Gamma ProcessReconstruction of de Decker-Vlacq's 1628 Table of Common LogarithmsZero-Energy Limit of Coulomb WavefunctionsStochastic Gradient Descent
Nonperiodic Substitution Tiling of the Plane
The Variance Gamma Process
Reconstruction of de Decker-Vlacq's 1628 Table of Common Logarithms
Zero-Energy Limit of Coulomb Wavefunctions
Stochastic Gradient Descent
Commutative Matrices Associated with Vector RotationsExact Solutions of the Schrödinger Equation for the Kratzer PotentialA Few More Geometries after RamanujanExact Solutions of the Schrödinger Equation for Pseudoharmonic PotentialPathfinding with A* Algorithm
Commutative Matrices Associated with Vector Rotations
Exact Solutions of the Schrödinger Equation for the Kratzer Potential
A Few More Geometries after Ramanujan
Exact Solutions of the Schrödinger Equation for Pseudoharmonic Potential
Pathfinding with A* Algorithm
Graphical Construction of a 2x2 Matrix and Its InverseMaximizing the Volume of a Right Circular Cone with Given Slant LengthFermat Point for Many PointsEigenvalues and the Trace-Determinant Plane of a Linear MapEigenvalues and the Principal Invariants of a Linear Map
Graphical Construction of a 2x2 Matrix and Its Inverse
Maximizing the Volume of a Right Circular Cone with Given Slant Length
Fermat Point for Many Points
Eigenvalues and the Trace-Determinant Plane of a Linear Map
Eigenvalues and the Principal Invariants of a Linear Map

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