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Part 3 gets engrossing by the page: business houses, prominent people, repealed ACTs, and corporations (manufacturing, synthetics, technology and pharmaceuticals).

The author travels a lot - waiting list for flight tickets was new to me - airport must have felt like train station - should have taken a bus.

It gets increasingly opinionated, and problems with prospective solutions are bombarded.

The book mentions most of the treaties, frameworks, member nations and procedures. D. Malone is quoted often.

Now that my memory has been jogged, I remember reading and watching television about most of the events.

2001 is the earliest I can recall, and the most intense. An earthquake at the start of the year, sanctions continued, plane hijacks in a far away land, and the western theatre was nearly lit.

"It is no wonder that Bombay’s vision was ignored. It was too practical and sensible—much like Bombay’s citizens."

Mistakes are expensive. Few have time to dilly dally.

"Instead of going back to my desk, I went out into the street and wandered aimlessly toward the harbor, feeling defeated."

La land de la wanderers.

Preventive detentions have made amazing authors out of noteworthy individuals (of democratic stature), who would have otherwise ferociously debated and pointed fingers at one another (figuratively) on the legislative floors, instead of being obligated, by virtue of boredom, to delegate time towards applying literary skills in assimilating information: as what has, in the confines of desolate walls, lead to this book.

Comparative study with numbers may not tell the whole story. Few entities censure data until much later when it's effect would most likely be dimmed down. When a certain kind of negative events become regular occurrences, it insinuates apathy which leads to delayed resolution.

Lot of doomsday signalling.

Why not a fast tiger and an enduring elephant; like a quantum superposition.

"[...] Alexander reassured his men that they were doing all this for the sake of glory— [...] talk and write about them." Alexander was right.

"'Treat me . . . ' replied Puru." Puru was toiling for honour.

Macedonian Phalanxes, likely, had tough time taking on trumpeting elephants to deter futher inquisitions towards peninsular conquest.

Addictive.

Paying less heed to specific criticisms (which may be feelings rather than facts): Economics may not be an exact science, but to be formulated (especially the Macro kind) through centuries, from atrociously massive experiments of trials and errors, is dismal to the extent of being appalling.

Contrary to the expectations - based on Author's (Chacha Nehru) legal profession - of muddled, meandering and emotionally unscathed passages; this book nearly overflows with sensational articulation.

Parameters such as α, n, γ, λ can be picked by trials (n ~ 5 in most cases), instead of grid search, as they seem fairly independent. Methods can be specific to the problem (which maybe a prediction or control, amongst others) with tradeoffs between latency and memory. LLMs help with method selection, discretisation and reduction of state-action space to explore feasibility of ideas.

Had to relearn backgammon.

This subject is rife with higher algebra (especially progressions and probability). Notations can cause mental havoc. Part III seems like interesting prose.

Depending on the distribution, some commands may not be pre-installed. Seems useful for LAN based contests - which reminds me of a game called Lagori (Seven Stones) wherein a team had to try to dismantle a stack of stones (in limited attempts) from a perimeter using a soft ball and then takeout as many players of other team by throwing the same ball at them as they try to reassemble the stack while dodging the ball.

Should have read this book earlier - there are external references (to papers and codebases) which would have been of immense help.

One way to generate true random numbers is by taking external measurements (I use temperature and time). It may take longer than a few processor cycles per number. The overhead can be reduced by storing the numbers in memory (in an independent queue) for other programs to use.

Part one is usual, but part two seems to have new to offer. Seeking improvement. Easy to understand and practical.

According to this book there are more morning larks than night owls, but I have known disproportionately more night owls. I had a notion that if minimum required downtime is H hours, then one could complete the sleep roster in multiple segments that sum cumulatively to H. That notion is unfounded. People involved in active decision making must undergo contiguous downtime.

Tabular methods can be understood without programming by creating a scenario with a small state-action space, initialising policy intuitively, and then iterating through the algorithms by setting the variable values. This may not be possible for complex algorithms in the second part - especially off-policy and online search and approximation.

It gets increasingly interesting. Need to revisit a few chapters.

Tedious.

More difficult than anticipated. The pseudo codes seemed like an actual programming language initially - expunged a lot of time to understand them. The book has its own non hardware based ISA called ILOC. IR are analogous to middlewares with optimisation runs. Many old and exotic languages are refered to, such as FORTRAN. Implementation would help with few important topics. Skipped the advanced topics.

Way too many abstractions to keep track of simultaneously. There are references to the theory of computation, data structures (particularly graphs, tables and compression), language processing, computer architecture (which I tried reading once to learn about the caches: I and the Ds). Need to refer to the newest edition.

This can wait - discounts on chocolates might be up already.

Aerodynamics is exciting because the point and line elements remind of electrostatics; vortex flow and its sheets remind of electrodynamics. Lattice (Boltzmann) method reminds of machine learning gradients, with damping factor analogous to learning rate. At higher speeds, sonic booms, wave mechanics and thermodynamics come into play - now: energy transfers in hypersonics.

History, design and applied sections make the read more interesting (and addictive).

Usually, analytical solutions have rampant approximations that extenuate drudgery. Numerically, each grid point (vertex) uses values computed in the previous step, at nearby vertices, to compute the value at current step. Large number of threads allow values to be obtained together in parallel.

Chapters 4 and 5 were of interest.

High alpha. VO2 maxed out. Boundary layer separation. Stall. Fatigue. Nose dive. Injury.

Specific part of this book was suggested for reading to understand the underlying theory in iterative mesh based simulations to select optimal design within constraints. I had read an older book long back, to appear busy, and evade speaking during discussions on blackbody radiation of fair faced females. Reading rest of it.

Professional PhD or by publication seems difficult but plausible. I used physical storage for bibliography (along with compressed cloud storage of essentials) as it is easier to run my command line tools. There was a tool called Calibre which few of us used, to organise cbz files. I have read more review papers than any other kind of paper.

Friendly read. Describes waypoint navigation. Tables (usually at the end of chapter) help recalibrate.

Enjoyed the soccer example for reduction trees.

Consecutive threads and warps minimize control divergence - wanted to try them out. The variables are in camelCase but have been using snake_case in C language - so the programs look like they contains mixed case.

Deep learning and physics follow.

A one-time affair can be accomplished by collecting all the test programs and running them on a (rented) virtual machine, chosen so as to minimize expenditure by estimating required compute capability and vetting it against hourly rates.

Instead, I ported the code to a hobby board with cortex host and 128 cores device. Test programs partition data into tiles to store them in shared memory followed by coarsening.

This book is like an extra large research paper with the appendices longer than the actual text. Rereading with suggested order:

1. Appendix A + B + C
2. Chapters 1 + 2
3. Appendix D + E + F + G
4. Chapter 3 + 4 + 5
5. Appendix H + I
6. Chapter 6
7. Appendix J + K
8. Chapter 7
9. Rest of the Appendices.

This book is like an extra large research paper with the appendices longer than the actual text. Rereading with suggested order:

1. Appendix A + B + C
2. Chapters 1 + 2
3. Appendix D + E + F + G
4. Chapter 3 + 4 + 5
5. Appendix H + I
6. Chapter 6
7. Appendix J + K
8. Chapter 7
9. Rest of the Appendices.

Not as difficult to read now. Going to try non-model based implementations in JAX, but first, remembering my kite equations using plotting libraries.

I had read a different edition of this book for a coursework until a few chapters back, which was available online for free, through none other than Google search. My mind was too shallow to estimate values for bootstrapping, back then. Time to dig.

Condensed. No conic sections. Exercises are fun - problems on a tougher side.