Mathematics · Linear Algebra

Block Krylov Subspace Capacity Calculator

Calculate maximum generated vector count from iteration count and starting block width.

Runs locally
Your numbers

Inputs and results stay in this browser. Change one value at a time to explore the relationship.

Your inputCalculatedPassed forward in chains
maximum generated vector count72

Calculation steps

  1. Use c=ab with iteration count=18 and starting block width=4.
  2. maximum generated vector count=72.

Understand Block Krylov Subspace Capacity

One idea, three depths

Choose how deeply to explain Block Krylov Subspace Capacity

Block Krylov Subspace Capacity: Calculate maximum generated vector count from iteration count and starting block width.

Age 5Explain it to a 5-year-oldStart with a picture

Imagine using Block Krylov Subspace Capacity to answer this question: calculate maximum generated vector count from iteration count and starting block width? Enter iteration count and starting block width; the calculator shows maximum generated vector count. For example: iteration count=18 and starting block width=4 produce maximum generated vector count=72. The answer tells you maximum generated vector count.

Age 15Explain it to a 15-year-oldConnect it to the formula

Before dependencies are removed, a block Krylov construction can generate iteration count times block width vectors. This page evaluates the relationship directly. The rule is c=ab. Its input values are iteration count, starting block width, and the main result is maximum generated vector count. For example: iteration count=18 and starting block width=4 produce maximum generated vector count=72.

CollegeExplain it at college levelState the model precisely

This calculator evaluates the stated block krylov subspace capacity relation over the valid real-number domain stated below. The implemented relation is c=ab, evaluated from iteration count, starting block width to produce maximum generated vector count. Before dependencies are removed, a block Krylov construction can generate iteration count times block width vectors. This page evaluates the relationship directly. Breakdown, deflation, or ambient dimension can reduce the realized subspace dimension.

Inputs and valid domain

  • iteration count must be a finite real number.
  • starting block width must be a finite real number.

Important boundary: Breakdown, deflation, or ambient dimension can reduce the realized subspace dimension.

The formula

c=ab

How the calculator works through it

It substitutes iteration count, starting block width into the formula and exposes every numerical step above. The main output is maximum generated vector count.

Read the result correctly

The maximum generated vector count is the direct answer to “calculate maximum generated vector count from iteration count and starting block width.” Read it with the units shown beside the inputs; a sign, angle, percentage or rate changes what the number means.

A worked check

iteration count=18 and starting block width=4 produce maximum generated vector count=72.

Where this model stops being reliable

Breakdown, deflation, or ambient dimension can reduce the realized subspace dimension.

Learn it by changing one value

Begin with the worked example, then change one value while keeping the others fixed. Compare the new result and calculation steps to identify which part of the formula changed.

Dictionary terms behind this calculator

Before studying the codeWhat you should know firstUse the calculator immediately, or check the foundations before reading the implementation.

These foundations help you understand why Block Krylov Subspace Capacity works. They never block the calculator, and “optional” means useful context rather than a hidden requirement.

Hard requirements

  • Reading formulas and substituting values

    Block Krylov Subspace Capacity uses c=ab. You need to recognise what each side represents before substituting the stated inputs or rearranging the relationship.

    Review this foundation about 4 min

Strong support

Optional enrichment

  • Matrices and linear transformations

    Matrices place Block Krylov Subspace Capacity inside the wider language of linear systems and transformations.

    Review this foundation about 7 min
Learn the missing foundationsI already know these — show the code

Mathematics → algorithm → program

Implement this calculation in code

These are direct reference implementations of the calculator's principal relationship and first output. They run locally and include a small known-answer check where the language supports it.

Algorithm

  1. Read iteration count, starting block width.
  2. Evaluate the principal relationship: c=ab.
  3. Return maximum generated vector count and check the domain conditions described above.
Python
            from math import *

def block_krylov_capacity_calculator(a, b) -> float:
    return (a * b)

assert abs(block_krylov_capacity_calculator(18, 4) - 72) < 1e-6 * max(1.0, abs(72))
          
Current calculator valuesUpdates when you change an input above.
              
            
C
            #include <assert.h>
#include <math.h>

double block_krylov_capacity_calculator(double a, double b) {
    return (a * b);
}

int main(void) {
    const double expected = 72;
    const double actual = block_krylov_capacity_calculator(18, 4);
    assert(fabs(actual - expected) < 1e-6 * fmax(1.0, fabs(expected)));
}
          
Current calculator valuesUpdates when you change an input above.
              
            
C++
            #include <cassert>
#include <cmath>
#include <numbers>

double block_krylov_capacity_calculator(double a, double b) {
    return (a * b);
}

int main() {
    constexpr double expected = 72;
    const double actual = block_krylov_capacity_calculator(18, 4);
    assert(std::fabs(actual - expected) < 1e-6 * std::fmax(1.0, std::fabs(expected)));
}
          
Current calculator valuesUpdates when you change an input above.
              
            
Linux x86-64 assembly

x86-64 NASM · System V ABI · Linux · SSE2 with libm where required

            ; double block_krylov_capacity_calculator(double a, double b)
; Linux x86-64 NASM · System V ABI · first eight doubles in xmm0–xmm7
global block_krylov_capacity_calculator
section .text

block_krylov_capacity_calculator:
    push rbp
    mov rbp, rsp
    sub rsp, 32
    movsd [rbp-8], xmm0
    movsd [rbp-16], xmm1
    movsd xmm0, [rbp-8]
    mulsd xmm0, [rbp-16]
    movsd [rbp-24], xmm0
    movsd xmm0, [rbp-24]
    leave
    ret
          
Current calculator valuesUpdates when you change an input above.
              
            
MATLAB
            function result = block_krylov_capacity_calculator(a, b)
    result = (a * b);
end
          
Current calculator valuesUpdates when you change an input above.
              
            
Wolfram Language
            ClearAll[mwCalculate];
mwCalculate[a_, b_] := (a * b);
          
Current calculator valuesUpdates when you change an input above.
              
            

Continue in mathematical software

The downloaded file includes your current inputs and first calculated result. It is created locally.

Floating-point answers can differ slightly by language, compiler and processor. Compare within a suitable tolerance rather than assuming every decimal representation will be identical.

Supporting sourcesAcademic referencesPrimary standards, textbooks and complete citations

Standards, reading and academic references

Use the calculator as the worked interaction, then consult the primary standards and academic textbooks listed below. MW SysArc links to the original sources; the explanation on this page is original and does not reproduce them.

Algebra and Trigonometry 2e

Read the related free OpenStax mathematics chapters
Cite this book
APA 7
Abramson, J. (2021). Algebra and trigonometry 2e. OpenStax. https://openstax.org/books/algebra-and-trigonometry-2e/pages/1-introduction-to-prerequisites
MLA 9
Abramson, Jay. Algebra and Trigonometry 2e. OpenStax, 2021, https://openstax.org/books/algebra-and-trigonometry-2e/pages/1-introduction-to-prerequisites.
Chicago author-date
Abramson, Jay. 2021. Algebra and Trigonometry 2e. Houston, TX: OpenStax. https://openstax.org/books/algebra-and-trigonometry-2e/pages/1-introduction-to-prerequisites.

OpenStax entries are free to read online. Follow the licence shown on each linked source before redistributing or adapting its content.

Reuse the page responsiblyCite this pageAPA, MLA, Chicago, Harvard, BibTeX and RIS

These formats cite this calculator page itself. They are separate from the academic references above, which support the mathematical method and terminology.

APA 7

MW SysArc. (2026, July 21). Block Krylov Subspace Capacity Calculator. MW SysArc Tools. https://math.mwsysarc.com/linear-algebra/block-krylov-capacity-calculator

MLA 9

MW SysArc. “Block Krylov Subspace Capacity Calculator.” MW SysArc Tools, 21 July 2026, https://math.mwsysarc.com/linear-algebra/block-krylov-capacity-calculator. Accessed 31 Aug. 2026.

Chicago 17

MW SysArc. “Block Krylov Subspace Capacity Calculator.” MW SysArc Tools. Published July 21, 2026. Accessed August 31, 2026. https://math.mwsysarc.com/linear-algebra/block-krylov-capacity-calculator.

Harvard

MW SysArc (2026) ‘Block Krylov Subspace Capacity Calculator’, MW SysArc Tools. Published 21 July 2026. Available at: https://math.mwsysarc.com/linear-algebra/block-krylov-capacity-calculator (Accessed: 31 August 2026).

BibTeX and RIS records

BibTeX

@misc{mwsysarc_block_krylov_capacity_calculator_2026,
  author = {{MW SysArc}},
  title = {Block Krylov Subspace Capacity Calculator},
  howpublished = {MW SysArc Tools},
  year = {2026},
  url = {https://math.mwsysarc.com/linear-algebra/block-krylov-capacity-calculator},
  note = {Published July 21, 2026; accessed August 31, 2026}
}

RIS

TY  - ELEC
AU  - MW SysArc
TI  - Block Krylov Subspace Capacity Calculator
T2  - MW SysArc Tools
PY  - 2026
DA  - 2026-07-21
Y2  - 2026-08-31
UR  - https://math.mwsysarc.com/linear-algebra/block-krylov-capacity-calculator
N1  - Published July 21, 2026
ER  -

Clear answers

Frequently asked questions

What does the Block Krylov Subspace Capacity do?

Calculate maximum generated vector count from iteration count and starting block width.

How does the Block Krylov Subspace Capacity work?

The calculator applies c=ab. Before dependencies are removed, a block Krylov construction can generate iteration count times block width vectors. This page evaluates the relationship directly.

What can I learn from the Block Krylov Subspace Capacity?

It connects the mathematical rule to your chosen numbers and shows each calculation step. Change one input at a time to see how the result responds.

Does MW SysArc receive or store what I enter?

No. The calculation runs locally in your browser. MW SysArc does not receive or store your calculation inputs.

How should I use the result?

Use the steps to understand the method, then verify important school or professional work using the notation and rounding rules required in your setting.

Last reviewed . Calculations tested .

MW SysArc Certified