All Classes

Class	Description
Almost	This class allows safe comparisons of floating point numbers with limited precision.
AlmostTest	Wrap another class Almost for junit testing.
ArrayMath	Utility method required by a test.
ArrayVect1	Implements a Vect by wrapping an array of doubles.
ArrayVect1Test	Wrap wsh.opt.ArrayVect1 for junit testing.
CleanFormatter	Format log messages without any extras.
CleanFormatterTest	Wrap wsh.util.CleanFormatter for junit testing.
CleanHandler	An alternative to ConsoleHandler.
CoordinateTransform	Find a best linear combination of input coordinates to fit output coordinates.
CoordinateTransformTest	Wrap wsh.opt.CoordinateTransform for junit testing.
GaussNewtonSolver	Solve least-squares inverse of a non-linear Transform.
GaussNewtonSolverTest	Solve least-squares inverse of a Transform.
LinearTransform	Define methods applying a linear transform and its transpose
LinearTransformWrapper	Wrap a LinearTransform as a non-linear Transform, by ignoring reference model.
Localize	Localize messages for end users, using a Formatter pattern and a localized resource bundle.
LocalizeTest	Wrap wsh.util.Localize for junit testing.
LoggerStream	Wrap a Logger as a PrintStream.
LogMonitor	Report progress to default Logger
MathPlus	Constants required by a test.
Monitor	Implement this interface to receive notifications of progress
PartialMonitor	Wrap an existing Monitor with a partial range.
Quadratic	Define a second-order quadratic operation on a Vector 0.5 x'Hx + b'x where H is a positive semidefinite quadratic and b is a linear gradient.
QuadraticSolver	Minimize a simple quadratic objective function.
QuadraticSolverTest	Wrap wsh.opt.QuadraticSolver for junit testing.
ScalarSolver	Search a single variable for a value that minimizes a function
ScalarSolver.Function	Implement a function of one variable to be minimized
ScalarSolverTest	Wrap wsh.opt.ScalarSolver for junit testing.
Transform	Implement a non-linear transform and its linearizations for a non-linear optimization.
TransformQuadratic	For a linearized transform, implement the Gauss-Newton quadratic approximation of a damped least-squares objective function.
Vect	Implement a vector supporting linear vector-space methods Test your implementation with VectUtil.test().
VectConst	Vector operations that do not change the state of the vector
VectUtil	Implements convenience methods for Vect.