Error bounds, Error bounds -20 – National Instruments NI MATRIXx Xmath User Manual

Page 66

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Chapter 3

Multiplicative Error Reduction

Xmath Model Reduction Module

3-20

ni.com

Error Bounds

The error bound formula (Equation 3-3) is a simple consequence of
iterating (Equation 3-5). To illustrate, suppose there are three reductions

→ →

→ , each by degree one. Then,

Also,

Similarly,

Then:

The error bound (Equation 3-3) is only exact when there is a single
reduction step. Normally, this algorithm has a lower error bound than

bst( )

; in particular, if the

ν

i

are all distinct and

, the error

bounds are approximately

G

Gˆ

Gˆ

2

Gˆ

3

G

1

–

G Gˆ

3

–

(

)

G

1

–

G Gˆ

–

(

)

=

G

1

–

GˆGˆ

1

–

Gˆ Gˆ

2

–

(

)

+

G

1

–

GˆGˆ

1

–

Gˆ

2

Gˆ

2

1

–

Gˆ

2

Gˆ

3

–

(

)

+

G

1

–

Gˆ

Gˆ

1

–

Gˆ G

–

(

) I

+

=

1 v

ns

+

≤

Gˆ

1

–

Gˆ

2

1 v

ns 1

–

+

≤

Gˆ

2

1

–

Gˆ

3

1 v

ns 2

–

+

≤

,

G

1

–

G Gˆ

3

–

(

)

v

ns

1 v

ns

+

(

)v

ns 1

–

1 v

ns 1

–

+

(

)v

ns 2

–

+

+

≤

1 v

ns

+

(

) 1 v

ns 1

–

+

(

) 1 v

ns 2

–

+

(

)

=

1

–

v

nsr 1

+

1

«

v

i

i

nsr 1

+

=

ns

∑

2

v

i

i

nsr 1

+

=

ns

∑

for

mulhank( )

for

bst(

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