Provided by: mpsolve_3.2.1-9_amd64
NAME
MPSolve - A multiprecision polynomial rootfinder
DESCRIPTION
mpsolve [-a alg] [-b] [-c] [-G goal] [-o digits] [-i digits] [-j n] [-t type] [-S set] [-D detect] [-O format] [-l filename] [-x] [-d] [-v] [-r] [infile | -p poly]
OPTIONS
-a alg Select the algorithm used to solve the polynomial/secular equation: u: Classic unisolve algorithm (Aberth iterations and dynamic precision) s: Secular algorithm, using regeneration of increasingly better-conditioned secular equations with the same roots of the polynomial -b Perform Aberth iterations in Jacobi-style instead of Gauss-Seidel -c Enable crude approximation mode -G goal Select the goal to reach. Possible values are: a: Approximate the roots i: Isolate the roots c: Count the roots in the search set -o digits Number of guaranteed digits of the roots -i digits Digits of precision of the input coefficients -j n Number of threads to spawn as workers -t type Type can be 'f' for floating point or 'd' for DPE -S set Restrict the search set for the roots set can be one of: u: upper half-plane { x | Im(x) > 0 } d: lower half-plane { x | Im(x) < 0 } l: left half-plane { x | Re(x) < 0 } r: right half-plane { x | Re(x) > 0 } i: inside the unit circle: { x | |x| < 1 } o: outside the unit circle { x | |x| > 1 } R: real axis { x | Im(x) = 0 } I: imaginary axis { x | Re(x) = 0 } -D detect Detect properties of the roots: r: real roots i: imaginary roots b: both -O format Select format for output: f: full output b: bare output c: compact output v: verbose output g: gnuplot-ready output gf: gnuplot-full mode, can be piped to gnuplot and display error bars. gp: The same as gf but only with points (suitable for high degree polynomials) For example: mpsolve -as -Ogf myfile.pol | gnuplot -l filename Set filename as the output for the log, instead of the tty. Use this option with -d[domains] to activate the desired debug domains. -x Enable graphic visualization of convergence -d[domains] Activate debug on selected domains, that can be one of: t: trace a: approximation c: cluster i: improvement w: timings o: input/Output m: memory management f: function calls p: debug stop condition and development of iteration packets r: regeneration Example: -dfi for function calls and improvement -p poly Solve the polynomial specified on the command line. For example: mpsolve -p "x^4-6*x^9+6/7*x + 5" -r Use a recursive strategy to dispose the initial approximations. This option is available only for monomial polynomials. Note: this option is considered experimental. -v Print the version and exit
SEE ALSO
The full documentation for MPSolve is maintained as a Texinfo manual. If the info and MPSolve programs are properly installed at your site, the command info MPSolve should give you access to the complete manual.