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Algorithm Engineering - An Attempt at a Definition with Examples
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Lecture Structure
- (lT Algorithm Engineering An Attempt at a Definition (00:00:01)
- 4 1 vv? ss (00:00:27)
- af = vwf (00:01:46)
- complexily measure (00:01:46)
- data SIFUCIUFES (00:01:46)
- algorithms (00:01:46)
- 1 Chi I110C E (00:01:46)
- appl model (00:01:46)
- Practice (00:01:46)
- Theory (00:01:46)
- heory (00:01:47)
- c lgorilhmics (00:01:48)
- efficient (00:01:48)
- asympt (00:02:45)
- complexi y measure (00:02:45)
- data structures (00:02:45)
- machine I110dE (00:02:45)
- data SUUCIUFES (00:04:12)
- machine I 0C E (00:04:12)
- engineering (00:04:13)
- algorithm (00:04:13)
- complexity measure (00:04:14)
- data SUUCILIFES (00:04:14)
- machine model (00:04:14)
- eng neer ng cles gnfals f abled Ideduct on ln UC Onanalysis hypotheses mf mplementat on (00:04:39)
- implementation (00:06:05)
- usa (00:06:23)
- 75 504 Elta (00:07:10)
- mpfgfggg l app W (00:07:10)
- muc e se g dde rea eng neenng fil Inputs Fues gn a s a e vz nalysxs hypotheses expenmen s Fmf ucnonneducnon e f f 1mp1 rE @ app engwuo (00:07:10)
- 79 504 Elm (00:07:58)
- usa FIG (00:11:26)
- (lT (00:12:21)
- 1s s A Elta (00:12:53)
- Elta (00:15:18)
- a fh vv fßß (00:18:42)
- num = A gcm m E g r v ng HPI (lT (00:20:49)
- Elm (00:20:53)
- usa (00:21:05)
- early sto pmg (00:21:05)
- rxmg pre im (00:21:05)
- s mpl c ry (00:21:05)
- 515 LD (00:21:05)
- early stupping (00:21:06)
- ins ances (00:21:06)
- Basic Approach (00:21:47)
- usa Flß l (00:23:49)
- (randomizalion meta heuristics (00:23:49)
- Pract cal alqor thms miqht be dif cult to analvze (00:23:49)
- 79 504 Flß l (00:23:50)
- 3v vv se 1s sM (00:23:51)
- e Sortir ant factor sag Q9m ßl (00:24:32)
- qreecly alqorithm for parallel disk p (00:24:32)
- Open Problem (00:24:32)
- Mo tly future Work (00:26:24)
- Ch3 ef IQeS (00:27:21)
- 79 SM (00:29:56)
- bucket bO (00:29:56)
- jl=jl 2 (ail s jl ) (00:29:56)
- jl=j1 2 (ail s jl ) (00:29:56)
- jO=jO 2 (aiO s j0 (00:29:56)
- 79 594 (00:30:22)
- usa Elta (00:31:18)
- 79 594 (00:32:41)
- usa Elta (00:36:13)
- v 4 156 N14 (00:37:47)
- F 1J (00:38:14)
- HNR (00:38:14)
- landmark (ALT) (00:38:14)
- 25 234 (00:38:14)
- aqqress ve CH (00:38:14)
- 4764110 27 (00:38:14)
- preprucessing (00:38:14)
- 79 594 (00:39:54)
- N A 0 0002 (00:39:54)
- N A 0 0019 (00:39:54)
- YNR AF (00:39:54)
- panial CH (00:39:54)
- 0 017 (00:39:54)
- SHARC (00:39:54)
- 9 wry ae m 1s sM Elm (00:40:36)
- 79 594 Eta (00:40:57)
- reach ALT (00:40:57)
- 2 313 1 (00:40:57)
- landma k (ALT (00:40:57)
- 1 s 3 un qus 5 10 reslpaththen (00:40:58)
- foreach pa rt v)an 1 ofedge do (00:40:58)
- SIMD nstructions (00:40:59)
- 75 594 (00:41:00)
- nhi vv ss E114 (00:41:04)
- i fa s fiab e L U1 manalys s hypotheses experiments inr1 riinn (00:41:04)
- design Lf (00:41:04)
- algorithm (00:41:04)
- r vv? ss (00:41:40)
- p@m W engm (00:41:40)
- muc e s rea eng neer ng Inputsaes gnlals able V na ysws hypotheses exper men mducnonne ucnonuerff mp app engm VdeTuog1e g d (00:41:40)
- 4r ny? se usa Mid (00:41:41)
- O04 (00:41:45)
- 380 (00:41:45)
- 023 (00:41:45)
- our HP MSQL cP E A (00:41:45)
- M11 In n band swilcl (00:41:46)
- use (00:42:01)
- Parallel STL Algorith m s (00:42:01)
- Asynchronous I 0 pr m t ves layer (00:42:01)
- S MD load balancing (00:44:19)
- lower level libraries lr tel TBB MCSTL Boost (00:44:19)
- 4 vv? se 79 594 (00:45:36)
- 79 594 (00:47:43)
- 79 594 FIG (00:47:45)
- 79 594 (00:48:35)
- 75 594 (00:49:33)
- 79 594 (00:50:02)
- use (00:50:24)
- vä ss use (00:50:30)
- use Elta (00:50:39)
- iä ss 79 594 (00:54:09)
- algorithm theory may still yield the s ronges deepest and most (00:54:09)
- Algorithm Engineering 4 Algorithm Theory (00:54:09)
- 79 594 (00:56:52)
Keyword
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